SlideShare ist ein Scribd-Unternehmen logo
1 von 36
Session “Cultural transmission studies: tree and network
                                               models of micro- and macro-evolution”

                                                            At the 111th AAA meeting

                                                                November 15th, 2012




The challenge of tree-thinking and network-thinking:
conceptual issues across biological and cultural domains

Emanuele Serrelli

•   “Riccardo Massa” Department of Human Sciences
    University of Milano Bicocca, ITALY
•   Lisbon Applied Evolutionary Epistemology Lab
    Universidade de Lisboa

emanuele.serrelli@unimib.it
http://www.epistemologia.eu



                                                                                         1
Cultural evolution

• Advanced methods of biology          • Data from:
  (devised for species, individuals,
  genes, phenotypes...):
                                            • linguistics

      • mathematical methods
                                            • anthropology

      • computer-aided analysis
                                            • archaeology
        protocols

                                            • sociology
      • massive public databases

                                            • economics
      • computer simulations

                                            • etc.

                                                             2
Cultural evolution




        Existing approaches within anthropology and archaeology demonstrate a
         good match with the macroevolutionary methods of systematics,
       paleobiology, and biogeography, whereas mathematical models derived
      from population genetics have been successfully developed to study cultural
       microevolution. Much potential exists for experimental simulations and field
      studies of cultural microevolution, where there are opportunities to borrow
     further methods and hypotheses from biology. Potential also exists for the
      cultural equivalent of molecular genetics in ‘social cognitive neuroscience’,
                although many fundamental issues have yet to be resolved




                                                                                      3
Cultural evolution

• Advanced methods of biology          • Data from:
  (devised for species, individuals,
  genes, phenotypes...):
                                            • linguistics

      • mathematical methods
                                            • anthropology

      • computer-aided analysis
                                            • archaeology
        protocols

                                            • sociology
      • massive public databases

                                            • economics
      • computer simulations

                                            • etc.

                                                             4
Cultural evolution




Fig. Mesoudi (2007), A Darwinian Theory of Cultural Evolution, p. 265, modified from Mesoudi, Whiten & Laland (2006), Towards a unified science of cultural evolution, p. 331   5
Conclusion




  We suggest that human culture exhibits key Darwinian
  evolutionary properties, and argue that the structure of
        a science of cultural evolution should share
  fundamental features with the structure of the science
                  of biological evolution.


Fig. Mesoudi (2007), A Darwinian Theory of Cultural Evolution, p. 265, modified from Mesoudi, Whiten & Laland (2006), Towards a unified science of cultural evolution, p. 331   6
Cultural evolution




•   Population thinking (Ernst Mayr 1955
    sgg., cf. Chung 2003, O’Hara 1998)
•   Typological thinking (Lewens 2009)
•   Tree thinking (O’Hara 1998, Baum et al.
    2005, Omland et al. 2008)
•   Network thinking (Papin et al. 2004,
    Proulx et al. 2005)
•   Homology thinking (Ereshefsky 2012)
•   Landscape thinking (Svensson &
    Calsbeek 2012)
•   Hierarchy thinking (Eldredge 1986)
•   ...



    Fig. Mesoudi (2007), A Darwinian Theory of Cultural Evolution, p. 265, modified from Mesoudi, Whiten & Laland (2006), Towards a unified science of cultural evolution, p. 331   7
Tree thinking: epistemology
             Alonso de Proaza, De logica nova, Valéncia edition (1512)




                                                                         8
Tree thinking: epistemology
             Alonso de Proaza, De logica nova, Valéncia edition (1512)
                                                                         •   Gontier (2011), “Depicting the
                                                                             Tree of Life”




                                                                                                              8
Tree thinking: epistemology
             Alonso de Proaza, De logica nova, Valéncia edition (1512)
                                                                         •   Gontier (2011), “Depicting the
                                                                             Tree of Life”




                                                                         •   Baum, DeWitt Smith & Donovan
                                                                             (2005), The Tree-Thinking
                                                                             Challenge




                                                                                                              8
Tree thinking: epistemology
             Alonso de Proaza, De logica nova, Valéncia edition (1512)
                                                                         •   Gontier (2011), “Depicting the
                                                                             Tree of Life”




                                                                         •   Baum, DeWitt Smith & Donovan
                                                                             (2005), The Tree-Thinking
                                                                             Challenge




                                                                         •   Proulx, Promislow & Phillips
                                                                             (2005), Network thinking in
                                                                             ecology and evolution



                                                                                                              8
Thinking: epistemology




                         9
Thinking: epistemology




                                                       • Godfrey-Smith (2008), Model-
                                                         based science
                                                       • Ankeny & Leonelli (2011),
                                                         What’s so special about model
  •   Beatty (1980),
                             •   Morgan & Morrison       organisms?
      What’s wrong with                                • Serrelli (2012), What’s wrong
                                 eds. (1999), Models
      the received view of
                                 as Mediators            with the semantic view of
      evolutionary theory?                               scientific theories?
                                                                                         9
Tree thinking: conceptual issues

 A      B           C              D




             •   O’Hara (1992), Telling the tree
             •   O’Hara (1998), Population thinking and tree thinking in systematics
             •   Baum et al. 2005, The Tree-Thinking Challenge
             •   Omland et al. 2008, Tree thinking for all biology
             •   ...
                                                                                       10
Tree thinking: conceptual issues

 A      B           C              D




             •   O’Hara (1992), Telling the tree
             •   O’Hara (1998), Population thinking and tree thinking in systematics
             •   Baum et al. 2005, The Tree-Thinking Challenge
             •   Omland et al. 2008, Tree thinking for all biology
             •   ...
                                                                                       10
Tree thinking: conceptual issues
                                                                                   PROTEOBACTERIA
 A      B           C              D                                                sii                    ica
                                                                                 tt                     er                        oli
                                                    ns                        ke                     nt                         c
                                                 pie                       ric                  a
                                                                                                    e
                                                                                                                          hia
                                               sa                    sia                    ell                        ic
                                           o                   et
                                                                 t                        on                    h er
                                                             k
                                       H om              Ri
                                                            c
                                                                                 S alm                    E sc




             •   O’Hara (1992), Telling the tree
             •   O’Hara (1998), Population thinking and tree thinking in systematics
             •   Baum et al. 2005, The Tree-Thinking Challenge
             •   Omland et al. 2008, Tree thinking for all biology
             •   ...
                                                                                                                                        10
Tree thinking: conceptual issues
                                                                                   PROTEOBACTERIA
 A      B           C              D                                                sii                    ica
                                                                                 tt                     er                        oli
                                                    ns                        ke                     nt                         c
                                                 pie                       ric                  a
                                                                                                    e
                                                                                                                          hia
                                               sa                    sia                    ell                        ic
                                           o                   et
                                                                 t                        on                    h er
                                                             k
                                       H om              Ri
                                                            c
                                                                                 S alm                    E sc




             •   O’Hara (1992), Telling the tree
             •   O’Hara (1998), Population thinking and tree thinking in systematics
             •   Baum et al. 2005, The Tree-Thinking Challenge
             •   Omland et al. 2008, Tree thinking for all biology
             •   ...
                                                                                                                                        10
Tree thinking: conceptual issues
                                               P L A C E N T A L S

                              m                                        ur                ey
                            su                                        m
                         s                                         Le              o  nk
                       po                  r                   d
                     O                  ea               a ile                   sM              AN
             ini
                 a                   rB              g-
                                                        t                     su
          irg                     ola            n                          he                 UM
      V                       P                Ri                         R                  H




 •   Omland et al. 2008,
     Tree thinking for all
     biology
                                                                                                      11
Tree thinking: conceptual issues
                                               P L A C E N T A L S

                              m                                        ur                ey
                            su                                        m
                         s                                         Le              o  nk
                       po                  r                   d
                     O                  ea               a ile                   sM              AN
             ini
                 a                   rB              g-
                                                        t                     su
          irg                     ola            n                          he                 UM
      V                       P                Ri                         R                  H




 •   Omland et al. 2008,
     Tree thinking for all
     biology
                                                                                                      11
Tree thinking: conceptual issues
                                               P L A C E N T A L S

                              m                                        ur                 ey
                            su                                        m
                         s                                         Le              o   nk
                       po                  r                   d
                     O                  ea               a ile                   sM               AN
             ini
                 a                   rB              g-
                                                        t                     su
          irg                     ola            n                          he                  UM
      V                       P                Ri                         R                   H



                                                                                                              M A R S U P I A L S

                                                                                                                                                                 u   m             m
                                                                                                                                          um                  ss               ss
                                                                                                                                                                                  u
                                                                                                                     ro
                                                                                                                        o
                                                                                                                                   o ss                   O po               po
                                                                                                                   a
                                                                                                               ng                Op               r   n                a
                                                                                                                                                                           O
                                                                                        AN                  Ka              se                 he                   ini
                                                                                                                        ou                 ut                     g
                                                                                   H  UM             Re
                                                                                                        d
                                                                                                                     M                So                    Vi
                                                                                                                                                                 r




 •   Omland et al. 2008,
     Tree thinking for all
     biology
                                                                                                                                                                                       11
Tree thinking: conceptual issues
                                               P L A C E N T A L S

                              m                                        ur                 ey
                            su                                        m
                         s                                         Le              o   nk
                       po                  r                   d
                     O                  ea               a ile                   sM               AN
             ini
                 a                   rB              g-
                                                        t                     su
          irg                     ola            n                          he                  UM
      V                       P                Ri                         R                   H



                                                                                                              M A R S U P I A L S

                                                                                                                                                                 u   m             m
                                                                                                                                          um                  ss               ss
                                                                                                                                                                                  u
                                                                                                                     ro
                                                                                                                        o
                                                                                                                                   o ss                   O po               po
                                                                                                                   a
                                                                                                               ng                Op               r   n                a
                                                                                                                                                                           O
                                                                                        AN                  Ka              se                 he                   ini
                                                                                                                        ou                 ut                     g
                                                                                   H  UM             Re
                                                                                                        d
                                                                                                                     M                So                    Vi
                                                                                                                                                                 r




 •   Omland et al. 2008,
     Tree thinking for all
     biology
                                                                                                                                                                                       11
Tree thinking

       “ R E P T I L E S ”          B       I       R       D      S
      snake gecko crocod. (T. Rex). raven   duck        emu     kiwi
        S      S      S      S      F           F       F        F



                                                        F
                                                S
     Body Covering
       S = scales
      F = feathers




 •   Omland et al. 2008,
     Tree thinking for all
     biology
                                                                       12
Tree thinking

       “ R E P T I L E S ”          B       I       R       D      S
      snake gecko crocod. (T. Rex). raven   duck        emu     kiwi
        S      S      S      S      F           F       F        F



                                                        F
                                                S
     Body Covering                                                                                 P L A C E N T A L S
       S = scales                                                                           m                                ur            y
                                                                                         su                             Le
                                                                                                                           m            ke
      F = feathers
                                                                                    p os             r                d              on
                                                                                a
                                                                                  O
                                                                                                B ea          t ail
                                                                                                                    e
                                                                                                                                u sM         AN
                                                                            ini             lar          ng
                                                                                                            -
                                                                                                                           he
                                                                                                                              s
                                                                                                                                          UM
                                                                         rg                            i
                                                                       Vi Sh Po Lo R Lo R Lo                                            H Lo




 •   Omland et al. 2008,                                Development
     Tree thinking for all                               Lo = long
     biology                                             Sh = short

                                                                                                                                                  12
Tree thinking

       “ R E P T I L E S ”          B       I       R       D      S
      snake gecko crocod. (T. Rex). raven   duck        emu     kiwi
        S      S      S      S      F           F       F        F



                                                        F
                                                S
     Body Covering                                                       P L A C E N T A L S        M A R S U P I A L S
       S = scales                                                                                 opossum        koala
                                                                        lion   tiger   wolf   cow       kangaroo       wombat
      F = feathers                                                      Lo      Lo      Lo    Lo Sh       Sh     Sh     Sh




                                                                       Development
 •   Omland et al. 2008,                                                Lo = long
     Tree thinking for all                                              Sh = short                      Long / Short?
                                                                                                         (equivocal)
     biology
                                                                                                                                13
Tree thinking

       “ R E P T I L E S ”          B       I       R       D"Which of the species is the oldest? Which is the
                                                                S
      snake gecko crocod. (T. Rex). raven   duck        emu youngest? Which is most ancestral? Most derived?
                                                             kiwi
        S      S      S      S      F           F        F Most primitive? Most simple? Most complex? The
                                                              F
                                                            answer is that a phylogeny provides no information
                                                                      about any of these questions!"
                                                        F
                                                S
     Body Covering                                                P L A C E N T A L S         M A R S U P I A L S
       S = scales                                                                           opossum        koala
                                                                  lion   tiger   wolf   cow       kangaroo       wombat
      F = feathers                                                Lo      Lo      Lo    Lo Sh       Sh     Sh     Sh




                                                                Development
 •   Omland et al. 2008,                                         Lo = long
     Tree thinking for all                                       Sh = short                       Long / Short?
                                                                                                   (equivocal)
     biology
                                                                                                                          13
Tree thinking
                                               P L A C E N T A L S

                              m                                        ur                ey
                            su                                        m
                         s                                         Le              o  nk
                       po                  r                   d
                     O                  ea               a ile                   sM              AN
             ini
                 a                   rB              g-
                                                        t                     su
          irg                     ola            n                          he                 UM
      V                       P                Ri                         R                  H




                                                               Although generally evolution has not stopped in any lineage, a
                                                             progressionist tendency brings some researchers to "continue to
                                                            incorrectly describe certain present-day species as 'primitive' and
                                                             to incorrectly imply that extant species may be ancestral to other
                                                                                   extant species" (p. 855).



 •   Omland et al. 2008,
     Tree thinking for all
     biology
                                                                                                                                  14
Tree thinking
                                               P L A C E N T A L S

                              m                                        ur                ey
                            su                                        m
                         s                                         Le              o  nk
                       po                  r                   d
                     O                  ea               a ile                   sM              AN
             ini
                 a                   rB              g-
                                                        t                     su
          irg                     ola            n                          he                 UM
      V                       P                Ri                         R                  H




 •   Omland et al. 2008,
     Tree thinking for all
     biology
                                                                                                      15
Tree thinking
                                               P L A C E N T A L S

                              m                                        ur                ey
                            su                                        m
                         s                                         Le              o  nk
                       po                  r                   d
                     O                  ea               a ile                   sM              AN
             ini
                 a                   rB              g-
                                                        t                     su
          irg                     ola            n                          he                 UM
      V                       P                Ri                         R                  H



                                                                                                                                          PROTEOBACTERIA
                                                                                                                                            ii                    ic  a
                                                                                                                                        tts                    er                        oli
                                                                                                             ns                      ke                     nt                         c
                                                                                                          pie                     ric                  a
                                                                                                                                                           e
                                                                                                                                                                                 hia
                                                                                                        sa                tsi
                                                                                                                              a                    ell                    r   ic
                                                                                                    o                 ke
                                                                                                                         t                       on                   e
                                                                                                om                   c                    alm                      ch
                                                                                              H                   Ri                    S                        Es




 •   Omland et al. 2008,
     Tree thinking for all
     biology
                                                                                                                                                                                               16
Tree thinking
                                               P L A C E N T A L S

                              m                                        ur                ey
                            su                                        m
                         s                                         Le              o  nk
                       po                  r                   d
                     O                  ea               a ile                   sM                    AN
             ini
                 a                   rB              g-
                                                        t                     su
          irg                     ola            n                          he                 UM
      V                       P                Ri                         R                  H


                                                                                                                                          P L A C E N T A L S


                                                                                                            um                         ur                         y
                                                                                                           s                          m                        ke
                                                                                                         os                        Le                       on                     r
                                                                                                       Op                  ile
                                                                                                                               d
                                                                                                                                             AN        sM                      B ea
                                                                                                   a                  t  a                           su                    r
                                                                                             g ini                ng
                                                                                                                     -                     UM      he                   ola
                                                                                                               Ri                         H
                                                                                       Vir                                                        R                   P




 •   Omland et al. 2008,
     Tree thinking for all
     biology
                                                                                                                                                                                      17
Tree-thinking training

• Gregory, T.R., 2008. Understanding         • Thanukos, A., 2010. Evolutionary Trees
  Evolutionary Trees. Evolution: Education     from the Tabloids and Beyond. Evolution:
  and Outreach, 1(2), pp.121–137.              Education and Outreach, 3(4), pp.563–
                                               572.
• Thanukos, A., 2009. A Name by Any
  Other Tree. Evolution: Education and       • Halverson, K.L., 2011. Improving Tree-
  Outreach, 2(2), pp.303–309.                  Thinking One Learnable Skill at a Time.
                                               Evolution: Education and Outreach, 4(1),
                                               pp.95–106.
• Meisel, R.P., 2010. Teaching Tree-
  Thinking to Undergraduate Biology
  Students. Evolution Education &            • Torrens, E. & Barahona, A., 2012. Why
  Outreach, 3(4), pp.621–628.                  Are Some Evolutionary Trees in Natural
                                               History Museums Prone to Being
                                               Misinterpreted? Evolution: Education and
• McLennan, D. a., 2010. How to Read a
                                               Outreach.
  Phylogenetic Tree. Evolution: Education
  and Outreach, 3(4), pp. 506–519.
                                             • Follow the links...

                                                                                          18
Network thinking: conceptual issues...?




                                •   Papin, Reed, Palsson (2004),
                                    Hierarchical thinking in network
                                    biology


                                                                       19
Conclusion




  We suggest that human culture exhibits key Darwinian
  evolutionary properties, and argue that the structure of
        a science of cultural evolution should share
  fundamental features with the structure of the science
                  of biological evolution.


Fig. Mesoudi (2007), A Darwinian Theory of Cultural Evolution, p. 265, modified from Mesoudi, Whiten & Laland (2006), Towards a unified science of cultural evolution, p. 331   20
people associated with them, and revealing the evolution-          Kimura 1970) to account for “stylistic variation” in arti-
                       ary relationships between these lineages. The basic meth-          facts. For example, Neiman (1995) demonstrated that
                       odology – extracting specimens from the ground – is also           changes in decorative styles of Illinois Woodland ceramics
                       similar. It is only recently, however, that some archaeolo-        can be predicted by a model incorporating the selectively
                       gists have begun to adopt explicitly evolutionary models           neutral but opposing forces of drift and innovation.
                       and tools (for overviews, see O’Brien & Lyman 2002b;               Bentley and Shennan (2003) found that the frequencies
                       Shennan 2002). The key assumption underlying both                  of West German pottery decorations over the course of


Conclusion: think by ways of thinking
                       paleobiology and archaeology is that similar forms that            400 years can be predicted by a similar model of unbiased
                       vary through time are causally connected by inheritance            cultural transmission, with some anti-conformist bias in
                       (which O’Brien & Lyman [2000] term the assumption of               later periods.
                       “heritable continuity”). Such sequences of causally con-              As well as prehistoric artifacts, past cultures – unlike
                       nected forms constitute evolutionary lineages. Simpson             past species – have often left detailed written records or
                       (1961) proposed that evolutionary lineages should be
                       used as a means of defining a species, rather than requiring
                       reproductive isolation (Mayr 1963), and this “evolutionary
                       species” concept is increasingly being used in evolutionary
                       biology (Wiens 2004). The same lineage-based-species
                       concept has been suggested by Hull (1982) for culture,
                       and extended by O’Brien and Lyman (2000) specifically
                       for prehistoric artifacts.
                          O’Brien and Lyman (2000) have argued that evolution-
                       ary lineages can be reconstructed using the method of
                       seriation, in which a collection of artifacts is ordered
                       according to their similarity: the more features two arti-
                       facts share, the closer they are in the order; the fewer
                       they share, the further apart they are placed. Where
     “ R E P T I L such S ”
                        E orderings exhibit gradual, R
                                          B         I                D         S
                                                           overlapping change, it
                       can be assumed that the seriation represents an evolution-
    snake gecko crocod.ary (T. Rex). raven duck cultural transmission.
                           lineage causally connected by       emu         kiwi
        S         S         S         S          F            F           F
                          Early archaeologists used the method of seriation to
                       identify lineages of coins (Evans 1850), stone tools (Pitt-
                                                                                      F
                       Rivers 1875), and Egyptian pottery (Petrie 1899). The
                       method fell out of favour, however, in the mid-twentieth
                       century, which O’Brien and Lyman (2000) attribute to
                       the increased popularity of an essentialist stance in archae-
                       ology, in which types are perceived to have distinct
                       “essences” and change occurs only when one type sud-
                                                                        F
                       denly transforms into another. This contrasts with evol-
                       utionary “population thinking” (Mayr 1982), which

                                                                 S
                       recognises naturally occurring variation within populations
                       rather than focusing on typological essences. O’Brien and
   Body Covering       Lyman (2000) have consequently made efforts to reintro-
                       duce seriation into archaeology as a method of studying
     S = scales        evolutionary change in artifacts. This is demonstrated by
                       their analysis of projectile points from the Southwestern
    F = feathers       United States, which, they show, exhibit continuous,
                       gradually changing variation rather than a small number
                       of distinct types. O’Brien and Lyman (2000) argue that
                       forcing artifacts into distinct categories often distorts
                       their true phylogenetic relationships.
                          The method of seriation is nonetheless vulnerable to the
                       same problem as similar methods in paleobiology: dis-
                       tinguishing between homologies and analogies. Hence,
                       O’Brien et al. (2001) and O’Brien and Lyman (2003)
                       have argued that it is also necessary to adopt the cladistic
                       methods described above to reconstruct evolutionary                Figure 2. A phylogenetic tree of 17 projectile points from the
                       lineages accurately. For example, O’Brien et al. (2001)            Southeastern United States, from O’Brien and Lyman (2003),
                       and O’Brien and Lyman (2003) carried out a phylogenetic            illustrating divergence from a single common ancestor.           21
                                334       BEHAVIORAL AND BRAIN SCIENCES (2006) 29:4
people associated with them, and revealing the evolution-          Kimura 1970) to account for “stylistic variation” in arti-
                            ary relationships between these lineages. The basic meth-          facts. For example, Neiman (1995) demonstrated that
                            odology – extracting specimens from the ground – is also           changes in decorative styles of Illinois Woodland ceramics
                            similar. It is only recently, however, that some archaeolo-        can be predicted by a model incorporating the selectively
                            gists have begun to adopt explicitly evolutionary models           neutral but opposing forces of drift and innovation.
                            and tools (for overviews, see O’Brien & Lyman 2002b;               Bentley and Shennan (2003) found that the frequencies
                            Shennan 2002). The key assumption underlying both                  of West German pottery decorations over the course of


Conclusion: think by ways of thinking
                            paleobiology and archaeology is that similar forms that            400 years can be predicted by a similar model of unbiased
                            vary through time are causally connected by inheritance            cultural transmission, with some anti-conformist bias in
                            (which O’Brien & Lyman [2000] term the assumption of               later periods.
                            “heritable continuity”). Such sequences of causally con-              As well as prehistoric artifacts, past cultures – unlike
                            nected forms constitute evolutionary lineages. Simpson             past species – have often left detailed written records or
                            (1961) proposed that evolutionary lineages should be
                            used as a means of defining a species, rather than requiring
                            reproductive isolation (Mayr 1963), and this “evolutionary
                            species” concept is increasingly being used in evolutionary
                            biology (Wiens 2004). The same lineage-based-species
                            concept has been suggested by Hull (1982) for culture,
                            and extended by O’Brien and Lyman (2000) specifically
                                       "Our conception of evolution and our interpretation of
                            for prehistoric artifacts.
                               O’Brien and Lyman (2000) have argued that evolution-

                                       phylogenetic trees are intimately linked - each affects
                            ary lineages can be reconstructed using the method of
                            seriation, in which a collection of artifacts is ordered

                                                         the other" (854)
                            according to their similarity: the more features two arti-
                            facts share, the closer they are in the order; the fewer
                            they share, the further apart they are placed. Where
          “ R E P T I L such S ”
                             E orderings exhibit gradual, R
                                               B         I                D         S
                                                                overlapping change, it
                            can be assumed that the seriation represents an evolution-
         snake gecko crocod.ary (T. Rex). raven duck cultural transmission.
                                lineage causally connected by       emu         kiwi
             S         S         S         S          F            F           F
                               Early archaeologists used the method of seriation to
                            identify lineages of coins (Evans 1850), stone tools (Pitt-
                                                                                           F
                            Rivers 1875), and Egyptian pottery (Petrie 1899). The
                            method fell out of favour, however, in the mid-twentieth
                            century, which O’Brien and Lyman (2000) attribute to
                            the increased popularity of an essentialist stance in archae-
                            ology, in which types are perceived to have distinct
                            “essences” and change occurs only when one type sud-
                                                                             F
                            denly transforms into another. This contrasts with evol-
                            utionary “population thinking” (Mayr 1982), which

                                                                      S
                            recognises naturally occurring variation within populations
                            rather than focusing on typological essences. O’Brien and
        Body Covering       Lyman (2000) have consequently made efforts to reintro-
                            duce seriation into archaeology as a method of studying
          S = scales        evolutionary change in artifacts. This is demonstrated by
                            their analysis of projectile points from the Southwestern
         F = feathers       United States, which, they show, exhibit continuous,
                            gradually changing variation rather than a small number
                            of distinct types. O’Brien and Lyman (2000) argue that
                            forcing artifacts into distinct categories often distorts
                            their true phylogenetic relationships.
 •   Omland et al. 2008,       The method of seriation is nonetheless vulnerable to the
                            same problem as similar methods in paleobiology: dis-
     Tree thinking for all  tinguishing between homologies and analogies. Hence,
                            O’Brien et al. (2001) and O’Brien and Lyman (2003)
     biology                have argued that it is also necessary to adopt the cladistic
                            methods described above to reconstruct evolutionary                Figure 2. A phylogenetic tree of 17 projectile points from the
                            lineages accurately. For example, O’Brien et al. (2001)            Southeastern United States, from O’Brien and Lyman (2003),
                            and O’Brien and Lyman (2003) carried out a phylogenetic            illustrating divergence from a single common ancestor.           21
                                     334       BEHAVIORAL AND BRAIN SCIENCES (2006) 29:4
people associated with them, and revealing the evolution-          Kimura 1970) to account for “stylistic variation” in arti-
                            ary relationships between these lineages. The basic meth-          facts. For example, Neiman (1995) demonstrated that
                            odology – extracting specimens from the ground – is also           changes in decorative styles of Illinois Woodland ceramics
                            similar. It is only recently, however, that some archaeolo-        can be predicted by a model incorporating the selectively
                            gists have begun to adopt explicitly evolutionary models           neutral but opposing forces of drift and innovation.
                            and tools (for overviews, see O’Brien & Lyman 2002b;               Bentley and Shennan (2003) found that the frequencies
                            Shennan 2002). The key assumption underlying both                  of West German pottery decorations over the course of


Conclusion: think by ways of thinking
                            paleobiology and archaeology is that similar forms that            400 years can be predicted by a similar model of unbiased
                            vary through time are causally connected by inheritance            cultural transmission, with some anti-conformist bias in
                            (which O’Brien & Lyman [2000] term the assumption of               later periods.
                            “heritable continuity”). Such sequences of causally con-              As well as prehistoric artifacts, past cultures – unlike
                            nected forms constitute evolutionary lineages. Simpson             past species – have often left detailed written records or
                            (1961) proposed that evolutionary lineages should be
                            used as a means of defining a species, rather than requiring
                            reproductive isolation (Mayr 1963), and this “evolutionary
                            species” concept is increasingly being used in evolutionary
                            biology (Wiens 2004). The same lineage-based-species
                            concept has been suggested by Hull (1982) for culture,
                            and extended by O’Brien and Lyman (2000) specifically
                                       "Our conception of evolution and our interpretation of
                            for prehistoric artifacts.
                               O’Brien and Lyman (2000) have argued that evolution-

                                       phylogenetic trees are intimately linked - each affects
                            ary lineages can be reconstructed using the method of
                            seriation, in which a collection of artifacts is ordered

                                                         the other" (854)
                            according to their similarity: the more features two arti-
                            facts share, the closer they are in the order; the fewer
                            they share, the further apart they are placed. Where
          “ R E P T I L such S ”
                             E orderings exhibit gradual, R
                                               B         I                D         S
                                                                overlapping change, it
                            can be assumed that the seriation represents an evolution-
         snake gecko crocod.ary (T. Rex). raven duck cultural transmission.
                                lineage causally connected by       emu         kiwi
             S         S         S         S          F            F           F
                               Early archaeologists used the method of seriation to
                            identify lineages of coins (Evans 1850), stone tools (Pitt-
                                                                                           F
                            Rivers 1875), and Egyptian pottery (Petrie 1899). The
                            method fell out of favour, however, in the mid-twentieth
                            century, which O’Brien and Lyman (2000) attribute to
                            the increased popularity of an essentialist stance in archae-
                            ology, in which types are perceived to have distinct
                            “essences” and change occurs only when one type sud-
                                                                             F
                            denly transforms into another. This contrasts with evol-
                            utionary “population thinking” (Mayr 1982), which

                                                                      S
                            recognises naturally occurring variation within populations
                            rather than focusing on typological essences. O’Brien and
        Body Covering       Lyman (2000) have consequently made efforts to reintro-
                            duce seriation into archaeology as a method of studying
          S = scales        evolutionary change in artifacts. This is demonstrated by
                            their analysis of projectile points from the Southwestern
         F = feathers       United States, which, they show, exhibit continuous,
                            gradually changing variation rather than a small number
                            of distinct types. O’Brien and Lyman (2000) argue that
                                                                  "Improved tree thinking will not only help us to better
                            forcing artifacts into distinct categories often distorts
                            their true phylogenetic relationships.
 •   Omland et al. 2008,                                          understand the evolution of the particular characters
                               The method of seriation is nonetheless vulnerable to the
                            same problem as similar methods in paleobiology: dis-
     Tree thinking for all                                       we are studying, but will also improve our fundamental
                            tinguishing between homologies and analogies. Hence,
                            O’Brien et al. (2001) and O’Brien and Lyman (2003)
     biology                                                               understandingphylogenetic tree of 17 projectile points from the
                            have argued that it is also necessary to adopt the cladistic
                            methods described above to reconstruct evolutionary    Figure 2. A
                                                                                               of evolution" (856)
                            lineages accurately. For example, O’Brien et al. (2001)            Southeastern United States, from O’Brien and Lyman (2003),
                            and O’Brien and Lyman (2003) carried out a phylogenetic            illustrating divergence from a single common ancestor.        21
                                     334       BEHAVIORAL AND BRAIN SCIENCES (2006) 29:4
References
•   Baum DA, DeWitt Smith S, Donovan SSS (2005). The Tree-Thinking Challenge.                 •   Mayr, E. (1959a). Darwin and the evolutionary theory in biology. In J. Meggers (Ed.),
    Science 310:979-980.                                                                          Evolution and anthropology: A centennial appraisal (pp. 1–10). Washington, DC:
                                                                                                  Anthropological Society of Washington.
•   Boyd R, Richerson PJ (1985). Culture and the Evolutionary Process. University of
    Chicago Press.                                                                            •   Mayr, E. (1959b). Agassiz, Darwin, and evolution. Harvard Library Bulletin, 13, 165–
                                                                                                  194.
•   Cavalli-Sforza LL, Feldman MW (1981). Cultural Transmission and Evolution.
    Princeton University Press.                                                               •   Mayr, E. (1959c). Where are we? Cold Spring Harbor Symposium on Quantitative
                                                                                                  Biology, 24, 409–440. Reprinted in adapted form in Mayr (1976). Evolution and the
                                                                                                  Diversity of Life (pp. 307–328). Cambridge, MA: Harvard University Press.
•   Chung C (2003). On the origin of the typological/population distinction in Ernst Mayr’s
    changing views of species, 1942–1959. Stud. Hist. Phil. Biol. & Biomed. Sci. 34: 277–
    296.                                                                                      •   Mesoudi A, Whiten A, Laland KN (2006). Towards a unified science of cultural
                                                                                                  evolution. Behavioral and Brain Sciences 29:329-383.
•   Eldredge N (1986). Information, economics, and evolution. Annual Review of Ecology
    and Systematics 17:351-369.                                                               •   O’Hara RJ (1992). Telling the tree: narrative representation and the study of
                                                                                                  evolutionary history. Biology and Philosophy 7:135-160.
•   Ereshefsky M (2012). Homology thinking. Biol Philos 27:381–400.
                                                                                              •   O’Hara RJ (1998). Population thinking and tree thinking in systematics. Zoological
                                                                                                  Scripta 26(4):323-329.
•   Gontier N (2011). Depicting the Tree of Life: the philosophical and historical roots of
    evolutionary tree diagrams. Evo Edu Outreach 4:515-538.
                                                                                              •   Omland KE, Cook LG, Crisp MD (2008). Tree thinking for all biology: the problem with
                                                                                                  reading phylogenies as ladders of progress. BioEssays 30:854-867.
•   Lewens T (2009). What’s wrong with typological thinking? Philosophy of Science
    76(3):355-371.
                                                                                              •   Papin A, Reed JL, Palsson BO (2004). Hierarchical thinking in network biology: the
                                                                                                  unbiased modularization of biochemical networks. Trends in Biochemical Sciences
•   Mesoudi A (2007). A Darwinian theory of cultural evolution can promote an                     29(12):641-647.
    evolutionary synthesis for the social sciences. Biological Theory 2(3):263-275.

                                                                                              •   Proulx SR, Promislow DEL, Phillips PC (2005). Network thinking in ecology and
•   Mayr, E. (1955). Karl Jordan’s contribution to current concepts in systematics and            evolution. Trends in Ecology and Evolution 20(6):345-53.
    evolution. In Evolution and the diversity of life (pp. 297–306). Cambridge, MA: Harvard
    University Press. Reprinted in E. Mayr (1976).
                                                                                              •   Svensson EI, Calsbeek R (2012). Adaptive Landscapes in Evolutionary Biology.
                                                                                                  Oxford University Press.
•   Mayr, E. (1957). Species concepts and definitions. In E. Mayr (Ed.), The species
    problem. Reprinted in E. Mayr (1976) (pp. 1–22). Washington, DC: American
    Association for the Advancement of Science.




                                                                                                                                                                                          22

Weitere ähnliche Inhalte

Ähnlich wie The challenge of tree-thinking and network-thinking

Digital Art and Philosophy #4
Digital Art and Philosophy #4Digital Art and Philosophy #4
Digital Art and Philosophy #4Melanie Swan
 
Extracting semantics from crowds
Extracting semantics from crowdsExtracting semantics from crowds
Extracting semantics from crowdsMarkus Strohmaier
 
Introduction to-narrative inquiry-workshop_2012
Introduction to-narrative inquiry-workshop_2012Introduction to-narrative inquiry-workshop_2012
Introduction to-narrative inquiry-workshop_2012Esko Johnson
 
Philosophy and Family Therapy: Intersubjectivity, Ethics, Biopolitics - IFTA ...
Philosophy and Family Therapy: Intersubjectivity, Ethics, Biopolitics - IFTA ...Philosophy and Family Therapy: Intersubjectivity, Ethics, Biopolitics - IFTA ...
Philosophy and Family Therapy: Intersubjectivity, Ethics, Biopolitics - IFTA ...Université de Montréal
 
Where The Action Is In Psychology
Where The Action Is In PsychologyWhere The Action Is In Psychology
Where The Action Is In PsychologyJ S
 
Theoretical perspectives 2
Theoretical perspectives 2Theoretical perspectives 2
Theoretical perspectives 2Louie Medinaceli
 
Prof. Michael Raupach "Synthesis in science and society" ACEAS Grand 2014 part B
Prof. Michael Raupach "Synthesis in science and society" ACEAS Grand 2014 part BProf. Michael Raupach "Synthesis in science and society" ACEAS Grand 2014 part B
Prof. Michael Raupach "Synthesis in science and society" ACEAS Grand 2014 part Baceas13tern
 
7 Things About the Humanities and Social Media
7 Things About the Humanities and Social Media7 Things About the Humanities and Social Media
7 Things About the Humanities and Social Mediabrianbelen
 
20 Years of Applied Ontology
20 Years of Applied Ontology20 Years of Applied Ontology
20 Years of Applied OntologyNicola Guarino
 
Digital turn-what-next--pecha-kucha, Berlin--21-sept-5-2015
Digital turn-what-next--pecha-kucha, Berlin--21-sept-5-2015Digital turn-what-next--pecha-kucha, Berlin--21-sept-5-2015
Digital turn-what-next--pecha-kucha, Berlin--21-sept-5-2015Heiner Benking
 
From Galapagos to Twitter: Darwin, Natural Selection, and Web 2.0
From Galapagos to Twitter: Darwin, Natural Selection, and Web 2.0From Galapagos to Twitter: Darwin, Natural Selection, and Web 2.0
From Galapagos to Twitter: Darwin, Natural Selection, and Web 2.0Xavier Llorà
 
Øyvind Vada: Making Memetics a science
Øyvind Vada: Making Memetics a science Øyvind Vada: Making Memetics a science
Øyvind Vada: Making Memetics a science Øyvind Vada
 
Design for debate, an introduction to design fiction and my research topic (T...
Design for debate, an introduction to design fiction and my research topic (T...Design for debate, an introduction to design fiction and my research topic (T...
Design for debate, an introduction to design fiction and my research topic (T...Max Mollon
 
Danis Concarneau 2016
Danis Concarneau 2016Danis Concarneau 2016
Danis Concarneau 2016Bruno Danis
 
Danis, Concarneau 2016: Southern Ocean Taxonomy Workshop
Danis, Concarneau 2016: Southern Ocean Taxonomy WorkshopDanis, Concarneau 2016: Southern Ocean Taxonomy Workshop
Danis, Concarneau 2016: Southern Ocean Taxonomy WorkshopBruno Danis
 
Ia2011 microbiome nazaroff postable
Ia2011 microbiome nazaroff postableIa2011 microbiome nazaroff postable
Ia2011 microbiome nazaroff postableWWNazaroff
 
Evolution, Humanity and Religion Where is the evidence for God?
Evolution, Humanity and Religion Where is the evidence for God?Evolution, Humanity and Religion Where is the evidence for God?
Evolution, Humanity and Religion Where is the evidence for God?William Hall
 

Ähnlich wie The challenge of tree-thinking and network-thinking (20)

Digital Art and Philosophy #4
Digital Art and Philosophy #4Digital Art and Philosophy #4
Digital Art and Philosophy #4
 
Extracting semantics from crowds
Extracting semantics from crowdsExtracting semantics from crowds
Extracting semantics from crowds
 
Introduction to-narrative inquiry-workshop_2012
Introduction to-narrative inquiry-workshop_2012Introduction to-narrative inquiry-workshop_2012
Introduction to-narrative inquiry-workshop_2012
 
Philosophy and Family Therapy: Intersubjectivity, Ethics, Biopolitics - IFTA ...
Philosophy and Family Therapy: Intersubjectivity, Ethics, Biopolitics - IFTA ...Philosophy and Family Therapy: Intersubjectivity, Ethics, Biopolitics - IFTA ...
Philosophy and Family Therapy: Intersubjectivity, Ethics, Biopolitics - IFTA ...
 
Where The Action Is In Psychology
Where The Action Is In PsychologyWhere The Action Is In Psychology
Where The Action Is In Psychology
 
Theoretical perspectives 2
Theoretical perspectives 2Theoretical perspectives 2
Theoretical perspectives 2
 
Prof. Michael Raupach "Synthesis in science and society" ACEAS Grand 2014 part B
Prof. Michael Raupach "Synthesis in science and society" ACEAS Grand 2014 part BProf. Michael Raupach "Synthesis in science and society" ACEAS Grand 2014 part B
Prof. Michael Raupach "Synthesis in science and society" ACEAS Grand 2014 part B
 
7 Things About the Humanities and Social Media
7 Things About the Humanities and Social Media7 Things About the Humanities and Social Media
7 Things About the Humanities and Social Media
 
20 Years of Applied Ontology
20 Years of Applied Ontology20 Years of Applied Ontology
20 Years of Applied Ontology
 
Digital turn-what-next--pecha-kucha, Berlin--21-sept-5-2015
Digital turn-what-next--pecha-kucha, Berlin--21-sept-5-2015Digital turn-what-next--pecha-kucha, Berlin--21-sept-5-2015
Digital turn-what-next--pecha-kucha, Berlin--21-sept-5-2015
 
From Galapagos to Twitter: Darwin, Natural Selection, and Web 2.0
From Galapagos to Twitter: Darwin, Natural Selection, and Web 2.0From Galapagos to Twitter: Darwin, Natural Selection, and Web 2.0
From Galapagos to Twitter: Darwin, Natural Selection, and Web 2.0
 
Øyvind Vada: Making Memetics a science
Øyvind Vada: Making Memetics a science Øyvind Vada: Making Memetics a science
Øyvind Vada: Making Memetics a science
 
Design for debate, an introduction to design fiction and my research topic (T...
Design for debate, an introduction to design fiction and my research topic (T...Design for debate, an introduction to design fiction and my research topic (T...
Design for debate, an introduction to design fiction and my research topic (T...
 
Models and Ontologies: differences
Models and Ontologies: differencesModels and Ontologies: differences
Models and Ontologies: differences
 
[Canada] Learning from the Educational Experiences of Indigenous Former Child...
[Canada] Learning from the Educational Experiences of Indigenous Former Child...[Canada] Learning from the Educational Experiences of Indigenous Former Child...
[Canada] Learning from the Educational Experiences of Indigenous Former Child...
 
Danis Concarneau 2016
Danis Concarneau 2016Danis Concarneau 2016
Danis Concarneau 2016
 
Danis, Concarneau 2016: Southern Ocean Taxonomy Workshop
Danis, Concarneau 2016: Southern Ocean Taxonomy WorkshopDanis, Concarneau 2016: Southern Ocean Taxonomy Workshop
Danis, Concarneau 2016: Southern Ocean Taxonomy Workshop
 
Ia2011 microbiome nazaroff postable
Ia2011 microbiome nazaroff postableIa2011 microbiome nazaroff postable
Ia2011 microbiome nazaroff postable
 
LIS DREaM 1 Keynote: “… And into the zone of quasi-rationality”
LIS DREaM 1 Keynote: “… And into the zone of quasi-rationality”LIS DREaM 1 Keynote: “… And into the zone of quasi-rationality”
LIS DREaM 1 Keynote: “… And into the zone of quasi-rationality”
 
Evolution, Humanity and Religion Where is the evidence for God?
Evolution, Humanity and Religion Where is the evidence for God?Evolution, Humanity and Religion Where is the evidence for God?
Evolution, Humanity and Religion Where is the evidence for God?
 

Mehr von Emanuele Serrelli

Ciseps Anthropocene Proposal
Ciseps Anthropocene ProposalCiseps Anthropocene Proposal
Ciseps Anthropocene ProposalEmanuele Serrelli
 
Il collo delle giraffe e il naso di pinocchio
Il collo delle giraffe e il naso di pinocchioIl collo delle giraffe e il naso di pinocchio
Il collo delle giraffe e il naso di pinocchioEmanuele Serrelli
 
The Extended Evolutionary Synthesis: new theory, new practices, new marketing...
The Extended Evolutionary Synthesis: new theory, new practices, new marketing...The Extended Evolutionary Synthesis: new theory, new practices, new marketing...
The Extended Evolutionary Synthesis: new theory, new practices, new marketing...Emanuele Serrelli
 
2013.05.29 ecological and genealogical patterns
2013.05.29   ecological and genealogical patterns2013.05.29   ecological and genealogical patterns
2013.05.29 ecological and genealogical patternsEmanuele Serrelli
 
Il mistero dell’universo e dell’uomo attraverso tre personaggi chiave
Il mistero dell’universo e dell’uomo attraverso tre personaggi chiaveIl mistero dell’universo e dell’uomo attraverso tre personaggi chiave
Il mistero dell’universo e dell’uomo attraverso tre personaggi chiaveEmanuele Serrelli
 
Evoluzione orizzontale e ontologia biologica
Evoluzione orizzontale e ontologia biologicaEvoluzione orizzontale e ontologia biologica
Evoluzione orizzontale e ontologia biologicaEmanuele Serrelli
 
Symbiogenetic Views and the Gaia Hypothesis
Symbiogenetic Views and the Gaia HypothesisSymbiogenetic Views and the Gaia Hypothesis
Symbiogenetic Views and the Gaia HypothesisEmanuele Serrelli
 
The hierarchy theory view of speciation
The hierarchy theory view of speciationThe hierarchy theory view of speciation
The hierarchy theory view of speciationEmanuele Serrelli
 
Emanuele Serrelli - Structures and functions in the evolution of morality
Emanuele Serrelli - Structures and functions in the evolution of moralityEmanuele Serrelli - Structures and functions in the evolution of morality
Emanuele Serrelli - Structures and functions in the evolution of moralityEmanuele Serrelli
 
Mendelian population as a model, intended as a "stable target of explanation"
Mendelian population as a model, intended as a "stable target of explanation"Mendelian population as a model, intended as a "stable target of explanation"
Mendelian population as a model, intended as a "stable target of explanation"Emanuele Serrelli
 
Criticizing adaptive landscapes and the conflation between ecology and genealogy
Criticizing adaptive landscapes and the conflation between ecology and genealogyCriticizing adaptive landscapes and the conflation between ecology and genealogy
Criticizing adaptive landscapes and the conflation between ecology and genealogyEmanuele Serrelli
 
Fabrizio Panebianco and Emanuele Serrelli: A Niche Construction Model with Re...
Fabrizio Panebianco and Emanuele Serrelli: A Niche Construction Model with Re...Fabrizio Panebianco and Emanuele Serrelli: A Niche Construction Model with Re...
Fabrizio Panebianco and Emanuele Serrelli: A Niche Construction Model with Re...Emanuele Serrelli
 
Evoluzione: livelli di tempo, nello spazio
Evoluzione: livelli di tempo, nello spazioEvoluzione: livelli di tempo, nello spazio
Evoluzione: livelli di tempo, nello spazioEmanuele Serrelli
 
Emanuele Serrelli - Lectures - Evolutionary Biology Class, University of Milan
Emanuele Serrelli - Lectures - Evolutionary Biology Class, University of MilanEmanuele Serrelli - Lectures - Evolutionary Biology Class, University of Milan
Emanuele Serrelli - Lectures - Evolutionary Biology Class, University of MilanEmanuele Serrelli
 
Emanuele Serrelli - Pitfalls and Strengths of Adaptation in Biology Education
Emanuele Serrelli - Pitfalls and Strengths of Adaptation in Biology EducationEmanuele Serrelli - Pitfalls and Strengths of Adaptation in Biology Education
Emanuele Serrelli - Pitfalls and Strengths of Adaptation in Biology EducationEmanuele Serrelli
 
Emanuele Serrelli - Le molte vie dellʼadattamento. Da Darwin in poi
Emanuele Serrelli - Le molte vie dellʼadattamento. Da Darwin in poiEmanuele Serrelli - Le molte vie dellʼadattamento. Da Darwin in poi
Emanuele Serrelli - Le molte vie dellʼadattamento. Da Darwin in poiEmanuele Serrelli
 
Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...
Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...
Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...Emanuele Serrelli
 
Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...
Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...
Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...Emanuele Serrelli
 

Mehr von Emanuele Serrelli (20)

Ciseps Anthropocene Proposal
Ciseps Anthropocene ProposalCiseps Anthropocene Proposal
Ciseps Anthropocene Proposal
 
Evolution is research
Evolution is researchEvolution is research
Evolution is research
 
Il collo delle giraffe e il naso di pinocchio
Il collo delle giraffe e il naso di pinocchioIl collo delle giraffe e il naso di pinocchio
Il collo delle giraffe e il naso di pinocchio
 
The Extended Evolutionary Synthesis: new theory, new practices, new marketing...
The Extended Evolutionary Synthesis: new theory, new practices, new marketing...The Extended Evolutionary Synthesis: new theory, new practices, new marketing...
The Extended Evolutionary Synthesis: new theory, new practices, new marketing...
 
Lisbon
LisbonLisbon
Lisbon
 
2013.05.29 ecological and genealogical patterns
2013.05.29   ecological and genealogical patterns2013.05.29   ecological and genealogical patterns
2013.05.29 ecological and genealogical patterns
 
Il mistero dell’universo e dell’uomo attraverso tre personaggi chiave
Il mistero dell’universo e dell’uomo attraverso tre personaggi chiaveIl mistero dell’universo e dell’uomo attraverso tre personaggi chiave
Il mistero dell’universo e dell’uomo attraverso tre personaggi chiave
 
Evoluzione orizzontale e ontologia biologica
Evoluzione orizzontale e ontologia biologicaEvoluzione orizzontale e ontologia biologica
Evoluzione orizzontale e ontologia biologica
 
Symbiogenetic Views and the Gaia Hypothesis
Symbiogenetic Views and the Gaia HypothesisSymbiogenetic Views and the Gaia Hypothesis
Symbiogenetic Views and the Gaia Hypothesis
 
The hierarchy theory view of speciation
The hierarchy theory view of speciationThe hierarchy theory view of speciation
The hierarchy theory view of speciation
 
Emanuele Serrelli - Structures and functions in the evolution of morality
Emanuele Serrelli - Structures and functions in the evolution of moralityEmanuele Serrelli - Structures and functions in the evolution of morality
Emanuele Serrelli - Structures and functions in the evolution of morality
 
Mendelian population as a model, intended as a "stable target of explanation"
Mendelian population as a model, intended as a "stable target of explanation"Mendelian population as a model, intended as a "stable target of explanation"
Mendelian population as a model, intended as a "stable target of explanation"
 
Criticizing adaptive landscapes and the conflation between ecology and genealogy
Criticizing adaptive landscapes and the conflation between ecology and genealogyCriticizing adaptive landscapes and the conflation between ecology and genealogy
Criticizing adaptive landscapes and the conflation between ecology and genealogy
 
Fabrizio Panebianco and Emanuele Serrelli: A Niche Construction Model with Re...
Fabrizio Panebianco and Emanuele Serrelli: A Niche Construction Model with Re...Fabrizio Panebianco and Emanuele Serrelli: A Niche Construction Model with Re...
Fabrizio Panebianco and Emanuele Serrelli: A Niche Construction Model with Re...
 
Evoluzione: livelli di tempo, nello spazio
Evoluzione: livelli di tempo, nello spazioEvoluzione: livelli di tempo, nello spazio
Evoluzione: livelli di tempo, nello spazio
 
Emanuele Serrelli - Lectures - Evolutionary Biology Class, University of Milan
Emanuele Serrelli - Lectures - Evolutionary Biology Class, University of MilanEmanuele Serrelli - Lectures - Evolutionary Biology Class, University of Milan
Emanuele Serrelli - Lectures - Evolutionary Biology Class, University of Milan
 
Emanuele Serrelli - Pitfalls and Strengths of Adaptation in Biology Education
Emanuele Serrelli - Pitfalls and Strengths of Adaptation in Biology EducationEmanuele Serrelli - Pitfalls and Strengths of Adaptation in Biology Education
Emanuele Serrelli - Pitfalls and Strengths of Adaptation in Biology Education
 
Emanuele Serrelli - Le molte vie dellʼadattamento. Da Darwin in poi
Emanuele Serrelli - Le molte vie dellʼadattamento. Da Darwin in poiEmanuele Serrelli - Le molte vie dellʼadattamento. Da Darwin in poi
Emanuele Serrelli - Le molte vie dellʼadattamento. Da Darwin in poi
 
Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...
Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...
Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...
 
Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...
Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...
Adaptive landscapes: A case study of metaphors, models, and synthesis in evol...
 

Kürzlich hochgeladen

fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingTeacherCyreneCayanan
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxVishalSingh1417
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
Disha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfDisha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfchloefrazer622
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajanpragatimahajan3
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 

Kürzlich hochgeladen (20)

fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writing
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
Disha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfDisha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdf
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajan
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 

The challenge of tree-thinking and network-thinking

  • 1. Session “Cultural transmission studies: tree and network models of micro- and macro-evolution” At the 111th AAA meeting November 15th, 2012 The challenge of tree-thinking and network-thinking: conceptual issues across biological and cultural domains Emanuele Serrelli • “Riccardo Massa” Department of Human Sciences University of Milano Bicocca, ITALY • Lisbon Applied Evolutionary Epistemology Lab Universidade de Lisboa emanuele.serrelli@unimib.it http://www.epistemologia.eu 1
  • 2. Cultural evolution • Advanced methods of biology • Data from: (devised for species, individuals, genes, phenotypes...): • linguistics • mathematical methods • anthropology • computer-aided analysis • archaeology protocols • sociology • massive public databases • economics • computer simulations • etc. 2
  • 3. Cultural evolution Existing approaches within anthropology and archaeology demonstrate a good match with the macroevolutionary methods of systematics, paleobiology, and biogeography, whereas mathematical models derived from population genetics have been successfully developed to study cultural microevolution. Much potential exists for experimental simulations and field studies of cultural microevolution, where there are opportunities to borrow further methods and hypotheses from biology. Potential also exists for the cultural equivalent of molecular genetics in ‘social cognitive neuroscience’, although many fundamental issues have yet to be resolved 3
  • 4. Cultural evolution • Advanced methods of biology • Data from: (devised for species, individuals, genes, phenotypes...): • linguistics • mathematical methods • anthropology • computer-aided analysis • archaeology protocols • sociology • massive public databases • economics • computer simulations • etc. 4
  • 5. Cultural evolution Fig. Mesoudi (2007), A Darwinian Theory of Cultural Evolution, p. 265, modified from Mesoudi, Whiten & Laland (2006), Towards a unified science of cultural evolution, p. 331 5
  • 6. Conclusion We suggest that human culture exhibits key Darwinian evolutionary properties, and argue that the structure of a science of cultural evolution should share fundamental features with the structure of the science of biological evolution. Fig. Mesoudi (2007), A Darwinian Theory of Cultural Evolution, p. 265, modified from Mesoudi, Whiten & Laland (2006), Towards a unified science of cultural evolution, p. 331 6
  • 7. Cultural evolution • Population thinking (Ernst Mayr 1955 sgg., cf. Chung 2003, O’Hara 1998) • Typological thinking (Lewens 2009) • Tree thinking (O’Hara 1998, Baum et al. 2005, Omland et al. 2008) • Network thinking (Papin et al. 2004, Proulx et al. 2005) • Homology thinking (Ereshefsky 2012) • Landscape thinking (Svensson & Calsbeek 2012) • Hierarchy thinking (Eldredge 1986) • ... Fig. Mesoudi (2007), A Darwinian Theory of Cultural Evolution, p. 265, modified from Mesoudi, Whiten & Laland (2006), Towards a unified science of cultural evolution, p. 331 7
  • 8. Tree thinking: epistemology Alonso de Proaza, De logica nova, Valéncia edition (1512) 8
  • 9. Tree thinking: epistemology Alonso de Proaza, De logica nova, Valéncia edition (1512) • Gontier (2011), “Depicting the Tree of Life” 8
  • 10. Tree thinking: epistemology Alonso de Proaza, De logica nova, Valéncia edition (1512) • Gontier (2011), “Depicting the Tree of Life” • Baum, DeWitt Smith & Donovan (2005), The Tree-Thinking Challenge 8
  • 11. Tree thinking: epistemology Alonso de Proaza, De logica nova, Valéncia edition (1512) • Gontier (2011), “Depicting the Tree of Life” • Baum, DeWitt Smith & Donovan (2005), The Tree-Thinking Challenge • Proulx, Promislow & Phillips (2005), Network thinking in ecology and evolution 8
  • 13. Thinking: epistemology • Godfrey-Smith (2008), Model- based science • Ankeny & Leonelli (2011), What’s so special about model • Beatty (1980), • Morgan & Morrison organisms? What’s wrong with • Serrelli (2012), What’s wrong eds. (1999), Models the received view of as Mediators with the semantic view of evolutionary theory? scientific theories? 9
  • 14. Tree thinking: conceptual issues A B C D • O’Hara (1992), Telling the tree • O’Hara (1998), Population thinking and tree thinking in systematics • Baum et al. 2005, The Tree-Thinking Challenge • Omland et al. 2008, Tree thinking for all biology • ... 10
  • 15. Tree thinking: conceptual issues A B C D • O’Hara (1992), Telling the tree • O’Hara (1998), Population thinking and tree thinking in systematics • Baum et al. 2005, The Tree-Thinking Challenge • Omland et al. 2008, Tree thinking for all biology • ... 10
  • 16. Tree thinking: conceptual issues PROTEOBACTERIA A B C D sii ica tt er oli ns ke nt c pie ric a e hia sa sia ell ic o et t on h er k H om Ri c S alm E sc • O’Hara (1992), Telling the tree • O’Hara (1998), Population thinking and tree thinking in systematics • Baum et al. 2005, The Tree-Thinking Challenge • Omland et al. 2008, Tree thinking for all biology • ... 10
  • 17. Tree thinking: conceptual issues PROTEOBACTERIA A B C D sii ica tt er oli ns ke nt c pie ric a e hia sa sia ell ic o et t on h er k H om Ri c S alm E sc • O’Hara (1992), Telling the tree • O’Hara (1998), Population thinking and tree thinking in systematics • Baum et al. 2005, The Tree-Thinking Challenge • Omland et al. 2008, Tree thinking for all biology • ... 10
  • 18. Tree thinking: conceptual issues P L A C E N T A L S m ur ey su m s Le o nk po r d O ea a ile sM AN ini a rB g- t su irg ola n he UM V P Ri R H • Omland et al. 2008, Tree thinking for all biology 11
  • 19. Tree thinking: conceptual issues P L A C E N T A L S m ur ey su m s Le o nk po r d O ea a ile sM AN ini a rB g- t su irg ola n he UM V P Ri R H • Omland et al. 2008, Tree thinking for all biology 11
  • 20. Tree thinking: conceptual issues P L A C E N T A L S m ur ey su m s Le o nk po r d O ea a ile sM AN ini a rB g- t su irg ola n he UM V P Ri R H M A R S U P I A L S u m m um ss ss u ro o o ss O po po a ng Op r n a O AN Ka se he ini ou ut g H UM Re d M So Vi r • Omland et al. 2008, Tree thinking for all biology 11
  • 21. Tree thinking: conceptual issues P L A C E N T A L S m ur ey su m s Le o nk po r d O ea a ile sM AN ini a rB g- t su irg ola n he UM V P Ri R H M A R S U P I A L S u m m um ss ss u ro o o ss O po po a ng Op r n a O AN Ka se he ini ou ut g H UM Re d M So Vi r • Omland et al. 2008, Tree thinking for all biology 11
  • 22. Tree thinking “ R E P T I L E S ” B I R D S snake gecko crocod. (T. Rex). raven duck emu kiwi S S S S F F F F F S Body Covering S = scales F = feathers • Omland et al. 2008, Tree thinking for all biology 12
  • 23. Tree thinking “ R E P T I L E S ” B I R D S snake gecko crocod. (T. Rex). raven duck emu kiwi S S S S F F F F F S Body Covering P L A C E N T A L S S = scales m ur y su Le m ke F = feathers p os r d on a O B ea t ail e u sM AN ini lar ng - he s UM rg i Vi Sh Po Lo R Lo R Lo H Lo • Omland et al. 2008, Development Tree thinking for all Lo = long biology Sh = short 12
  • 24. Tree thinking “ R E P T I L E S ” B I R D S snake gecko crocod. (T. Rex). raven duck emu kiwi S S S S F F F F F S Body Covering P L A C E N T A L S M A R S U P I A L S S = scales opossum koala lion tiger wolf cow kangaroo wombat F = feathers Lo Lo Lo Lo Sh Sh Sh Sh Development • Omland et al. 2008, Lo = long Tree thinking for all Sh = short Long / Short? (equivocal) biology 13
  • 25. Tree thinking “ R E P T I L E S ” B I R D"Which of the species is the oldest? Which is the S snake gecko crocod. (T. Rex). raven duck emu youngest? Which is most ancestral? Most derived? kiwi S S S S F F F Most primitive? Most simple? Most complex? The F answer is that a phylogeny provides no information about any of these questions!" F S Body Covering P L A C E N T A L S M A R S U P I A L S S = scales opossum koala lion tiger wolf cow kangaroo wombat F = feathers Lo Lo Lo Lo Sh Sh Sh Sh Development • Omland et al. 2008, Lo = long Tree thinking for all Sh = short Long / Short? (equivocal) biology 13
  • 26. Tree thinking P L A C E N T A L S m ur ey su m s Le o nk po r d O ea a ile sM AN ini a rB g- t su irg ola n he UM V P Ri R H Although generally evolution has not stopped in any lineage, a progressionist tendency brings some researchers to "continue to incorrectly describe certain present-day species as 'primitive' and to incorrectly imply that extant species may be ancestral to other extant species" (p. 855). • Omland et al. 2008, Tree thinking for all biology 14
  • 27. Tree thinking P L A C E N T A L S m ur ey su m s Le o nk po r d O ea a ile sM AN ini a rB g- t su irg ola n he UM V P Ri R H • Omland et al. 2008, Tree thinking for all biology 15
  • 28. Tree thinking P L A C E N T A L S m ur ey su m s Le o nk po r d O ea a ile sM AN ini a rB g- t su irg ola n he UM V P Ri R H PROTEOBACTERIA ii ic a tts er oli ns ke nt c pie ric a e hia sa tsi a ell r ic o ke t on e om c alm ch H Ri S Es • Omland et al. 2008, Tree thinking for all biology 16
  • 29. Tree thinking P L A C E N T A L S m ur ey su m s Le o nk po r d O ea a ile sM AN ini a rB g- t su irg ola n he UM V P Ri R H P L A C E N T A L S um ur y s m ke os Le on r Op ile d AN sM B ea a t a su r g ini ng - UM he ola Ri H Vir R P • Omland et al. 2008, Tree thinking for all biology 17
  • 30. Tree-thinking training • Gregory, T.R., 2008. Understanding • Thanukos, A., 2010. Evolutionary Trees Evolutionary Trees. Evolution: Education from the Tabloids and Beyond. Evolution: and Outreach, 1(2), pp.121–137. Education and Outreach, 3(4), pp.563– 572. • Thanukos, A., 2009. A Name by Any Other Tree. Evolution: Education and • Halverson, K.L., 2011. Improving Tree- Outreach, 2(2), pp.303–309. Thinking One Learnable Skill at a Time. Evolution: Education and Outreach, 4(1), pp.95–106. • Meisel, R.P., 2010. Teaching Tree- Thinking to Undergraduate Biology Students. Evolution Education & • Torrens, E. & Barahona, A., 2012. Why Outreach, 3(4), pp.621–628. Are Some Evolutionary Trees in Natural History Museums Prone to Being Misinterpreted? Evolution: Education and • McLennan, D. a., 2010. How to Read a Outreach. Phylogenetic Tree. Evolution: Education and Outreach, 3(4), pp. 506–519. • Follow the links... 18
  • 31. Network thinking: conceptual issues...? • Papin, Reed, Palsson (2004), Hierarchical thinking in network biology 19
  • 32. Conclusion We suggest that human culture exhibits key Darwinian evolutionary properties, and argue that the structure of a science of cultural evolution should share fundamental features with the structure of the science of biological evolution. Fig. Mesoudi (2007), A Darwinian Theory of Cultural Evolution, p. 265, modified from Mesoudi, Whiten & Laland (2006), Towards a unified science of cultural evolution, p. 331 20
  • 33. people associated with them, and revealing the evolution- Kimura 1970) to account for “stylistic variation” in arti- ary relationships between these lineages. The basic meth- facts. For example, Neiman (1995) demonstrated that odology – extracting specimens from the ground – is also changes in decorative styles of Illinois Woodland ceramics similar. It is only recently, however, that some archaeolo- can be predicted by a model incorporating the selectively gists have begun to adopt explicitly evolutionary models neutral but opposing forces of drift and innovation. and tools (for overviews, see O’Brien & Lyman 2002b; Bentley and Shennan (2003) found that the frequencies Shennan 2002). The key assumption underlying both of West German pottery decorations over the course of Conclusion: think by ways of thinking paleobiology and archaeology is that similar forms that 400 years can be predicted by a similar model of unbiased vary through time are causally connected by inheritance cultural transmission, with some anti-conformist bias in (which O’Brien & Lyman [2000] term the assumption of later periods. “heritable continuity”). Such sequences of causally con- As well as prehistoric artifacts, past cultures – unlike nected forms constitute evolutionary lineages. Simpson past species – have often left detailed written records or (1961) proposed that evolutionary lineages should be used as a means of defining a species, rather than requiring reproductive isolation (Mayr 1963), and this “evolutionary species” concept is increasingly being used in evolutionary biology (Wiens 2004). The same lineage-based-species concept has been suggested by Hull (1982) for culture, and extended by O’Brien and Lyman (2000) specifically for prehistoric artifacts. O’Brien and Lyman (2000) have argued that evolution- ary lineages can be reconstructed using the method of seriation, in which a collection of artifacts is ordered according to their similarity: the more features two arti- facts share, the closer they are in the order; the fewer they share, the further apart they are placed. Where “ R E P T I L such S ” E orderings exhibit gradual, R B I D S overlapping change, it can be assumed that the seriation represents an evolution- snake gecko crocod.ary (T. Rex). raven duck cultural transmission. lineage causally connected by emu kiwi S S S S F F F Early archaeologists used the method of seriation to identify lineages of coins (Evans 1850), stone tools (Pitt- F Rivers 1875), and Egyptian pottery (Petrie 1899). The method fell out of favour, however, in the mid-twentieth century, which O’Brien and Lyman (2000) attribute to the increased popularity of an essentialist stance in archae- ology, in which types are perceived to have distinct “essences” and change occurs only when one type sud- F denly transforms into another. This contrasts with evol- utionary “population thinking” (Mayr 1982), which S recognises naturally occurring variation within populations rather than focusing on typological essences. O’Brien and Body Covering Lyman (2000) have consequently made efforts to reintro- duce seriation into archaeology as a method of studying S = scales evolutionary change in artifacts. This is demonstrated by their analysis of projectile points from the Southwestern F = feathers United States, which, they show, exhibit continuous, gradually changing variation rather than a small number of distinct types. O’Brien and Lyman (2000) argue that forcing artifacts into distinct categories often distorts their true phylogenetic relationships. The method of seriation is nonetheless vulnerable to the same problem as similar methods in paleobiology: dis- tinguishing between homologies and analogies. Hence, O’Brien et al. (2001) and O’Brien and Lyman (2003) have argued that it is also necessary to adopt the cladistic methods described above to reconstruct evolutionary Figure 2. A phylogenetic tree of 17 projectile points from the lineages accurately. For example, O’Brien et al. (2001) Southeastern United States, from O’Brien and Lyman (2003), and O’Brien and Lyman (2003) carried out a phylogenetic illustrating divergence from a single common ancestor. 21 334 BEHAVIORAL AND BRAIN SCIENCES (2006) 29:4
  • 34. people associated with them, and revealing the evolution- Kimura 1970) to account for “stylistic variation” in arti- ary relationships between these lineages. The basic meth- facts. For example, Neiman (1995) demonstrated that odology – extracting specimens from the ground – is also changes in decorative styles of Illinois Woodland ceramics similar. It is only recently, however, that some archaeolo- can be predicted by a model incorporating the selectively gists have begun to adopt explicitly evolutionary models neutral but opposing forces of drift and innovation. and tools (for overviews, see O’Brien & Lyman 2002b; Bentley and Shennan (2003) found that the frequencies Shennan 2002). The key assumption underlying both of West German pottery decorations over the course of Conclusion: think by ways of thinking paleobiology and archaeology is that similar forms that 400 years can be predicted by a similar model of unbiased vary through time are causally connected by inheritance cultural transmission, with some anti-conformist bias in (which O’Brien & Lyman [2000] term the assumption of later periods. “heritable continuity”). Such sequences of causally con- As well as prehistoric artifacts, past cultures – unlike nected forms constitute evolutionary lineages. Simpson past species – have often left detailed written records or (1961) proposed that evolutionary lineages should be used as a means of defining a species, rather than requiring reproductive isolation (Mayr 1963), and this “evolutionary species” concept is increasingly being used in evolutionary biology (Wiens 2004). The same lineage-based-species concept has been suggested by Hull (1982) for culture, and extended by O’Brien and Lyman (2000) specifically "Our conception of evolution and our interpretation of for prehistoric artifacts. O’Brien and Lyman (2000) have argued that evolution- phylogenetic trees are intimately linked - each affects ary lineages can be reconstructed using the method of seriation, in which a collection of artifacts is ordered the other" (854) according to their similarity: the more features two arti- facts share, the closer they are in the order; the fewer they share, the further apart they are placed. Where “ R E P T I L such S ” E orderings exhibit gradual, R B I D S overlapping change, it can be assumed that the seriation represents an evolution- snake gecko crocod.ary (T. Rex). raven duck cultural transmission. lineage causally connected by emu kiwi S S S S F F F Early archaeologists used the method of seriation to identify lineages of coins (Evans 1850), stone tools (Pitt- F Rivers 1875), and Egyptian pottery (Petrie 1899). The method fell out of favour, however, in the mid-twentieth century, which O’Brien and Lyman (2000) attribute to the increased popularity of an essentialist stance in archae- ology, in which types are perceived to have distinct “essences” and change occurs only when one type sud- F denly transforms into another. This contrasts with evol- utionary “population thinking” (Mayr 1982), which S recognises naturally occurring variation within populations rather than focusing on typological essences. O’Brien and Body Covering Lyman (2000) have consequently made efforts to reintro- duce seriation into archaeology as a method of studying S = scales evolutionary change in artifacts. This is demonstrated by their analysis of projectile points from the Southwestern F = feathers United States, which, they show, exhibit continuous, gradually changing variation rather than a small number of distinct types. O’Brien and Lyman (2000) argue that forcing artifacts into distinct categories often distorts their true phylogenetic relationships. • Omland et al. 2008, The method of seriation is nonetheless vulnerable to the same problem as similar methods in paleobiology: dis- Tree thinking for all tinguishing between homologies and analogies. Hence, O’Brien et al. (2001) and O’Brien and Lyman (2003) biology have argued that it is also necessary to adopt the cladistic methods described above to reconstruct evolutionary Figure 2. A phylogenetic tree of 17 projectile points from the lineages accurately. For example, O’Brien et al. (2001) Southeastern United States, from O’Brien and Lyman (2003), and O’Brien and Lyman (2003) carried out a phylogenetic illustrating divergence from a single common ancestor. 21 334 BEHAVIORAL AND BRAIN SCIENCES (2006) 29:4
  • 35. people associated with them, and revealing the evolution- Kimura 1970) to account for “stylistic variation” in arti- ary relationships between these lineages. The basic meth- facts. For example, Neiman (1995) demonstrated that odology – extracting specimens from the ground – is also changes in decorative styles of Illinois Woodland ceramics similar. It is only recently, however, that some archaeolo- can be predicted by a model incorporating the selectively gists have begun to adopt explicitly evolutionary models neutral but opposing forces of drift and innovation. and tools (for overviews, see O’Brien & Lyman 2002b; Bentley and Shennan (2003) found that the frequencies Shennan 2002). The key assumption underlying both of West German pottery decorations over the course of Conclusion: think by ways of thinking paleobiology and archaeology is that similar forms that 400 years can be predicted by a similar model of unbiased vary through time are causally connected by inheritance cultural transmission, with some anti-conformist bias in (which O’Brien & Lyman [2000] term the assumption of later periods. “heritable continuity”). Such sequences of causally con- As well as prehistoric artifacts, past cultures – unlike nected forms constitute evolutionary lineages. Simpson past species – have often left detailed written records or (1961) proposed that evolutionary lineages should be used as a means of defining a species, rather than requiring reproductive isolation (Mayr 1963), and this “evolutionary species” concept is increasingly being used in evolutionary biology (Wiens 2004). The same lineage-based-species concept has been suggested by Hull (1982) for culture, and extended by O’Brien and Lyman (2000) specifically "Our conception of evolution and our interpretation of for prehistoric artifacts. O’Brien and Lyman (2000) have argued that evolution- phylogenetic trees are intimately linked - each affects ary lineages can be reconstructed using the method of seriation, in which a collection of artifacts is ordered the other" (854) according to their similarity: the more features two arti- facts share, the closer they are in the order; the fewer they share, the further apart they are placed. Where “ R E P T I L such S ” E orderings exhibit gradual, R B I D S overlapping change, it can be assumed that the seriation represents an evolution- snake gecko crocod.ary (T. Rex). raven duck cultural transmission. lineage causally connected by emu kiwi S S S S F F F Early archaeologists used the method of seriation to identify lineages of coins (Evans 1850), stone tools (Pitt- F Rivers 1875), and Egyptian pottery (Petrie 1899). The method fell out of favour, however, in the mid-twentieth century, which O’Brien and Lyman (2000) attribute to the increased popularity of an essentialist stance in archae- ology, in which types are perceived to have distinct “essences” and change occurs only when one type sud- F denly transforms into another. This contrasts with evol- utionary “population thinking” (Mayr 1982), which S recognises naturally occurring variation within populations rather than focusing on typological essences. O’Brien and Body Covering Lyman (2000) have consequently made efforts to reintro- duce seriation into archaeology as a method of studying S = scales evolutionary change in artifacts. This is demonstrated by their analysis of projectile points from the Southwestern F = feathers United States, which, they show, exhibit continuous, gradually changing variation rather than a small number of distinct types. O’Brien and Lyman (2000) argue that "Improved tree thinking will not only help us to better forcing artifacts into distinct categories often distorts their true phylogenetic relationships. • Omland et al. 2008, understand the evolution of the particular characters The method of seriation is nonetheless vulnerable to the same problem as similar methods in paleobiology: dis- Tree thinking for all we are studying, but will also improve our fundamental tinguishing between homologies and analogies. Hence, O’Brien et al. (2001) and O’Brien and Lyman (2003) biology understandingphylogenetic tree of 17 projectile points from the have argued that it is also necessary to adopt the cladistic methods described above to reconstruct evolutionary Figure 2. A of evolution" (856) lineages accurately. For example, O’Brien et al. (2001) Southeastern United States, from O’Brien and Lyman (2003), and O’Brien and Lyman (2003) carried out a phylogenetic illustrating divergence from a single common ancestor. 21 334 BEHAVIORAL AND BRAIN SCIENCES (2006) 29:4
  • 36. References • Baum DA, DeWitt Smith S, Donovan SSS (2005). The Tree-Thinking Challenge. • Mayr, E. (1959a). Darwin and the evolutionary theory in biology. In J. Meggers (Ed.), Science 310:979-980. Evolution and anthropology: A centennial appraisal (pp. 1–10). Washington, DC: Anthropological Society of Washington. • Boyd R, Richerson PJ (1985). Culture and the Evolutionary Process. University of Chicago Press. • Mayr, E. (1959b). Agassiz, Darwin, and evolution. Harvard Library Bulletin, 13, 165– 194. • Cavalli-Sforza LL, Feldman MW (1981). Cultural Transmission and Evolution. Princeton University Press. • Mayr, E. (1959c). Where are we? Cold Spring Harbor Symposium on Quantitative Biology, 24, 409–440. Reprinted in adapted form in Mayr (1976). Evolution and the Diversity of Life (pp. 307–328). Cambridge, MA: Harvard University Press. • Chung C (2003). On the origin of the typological/population distinction in Ernst Mayr’s changing views of species, 1942–1959. Stud. Hist. Phil. Biol. & Biomed. Sci. 34: 277– 296. • Mesoudi A, Whiten A, Laland KN (2006). Towards a unified science of cultural evolution. Behavioral and Brain Sciences 29:329-383. • Eldredge N (1986). Information, economics, and evolution. Annual Review of Ecology and Systematics 17:351-369. • O’Hara RJ (1992). Telling the tree: narrative representation and the study of evolutionary history. Biology and Philosophy 7:135-160. • Ereshefsky M (2012). Homology thinking. Biol Philos 27:381–400. • O’Hara RJ (1998). Population thinking and tree thinking in systematics. Zoological Scripta 26(4):323-329. • Gontier N (2011). Depicting the Tree of Life: the philosophical and historical roots of evolutionary tree diagrams. Evo Edu Outreach 4:515-538. • Omland KE, Cook LG, Crisp MD (2008). Tree thinking for all biology: the problem with reading phylogenies as ladders of progress. BioEssays 30:854-867. • Lewens T (2009). What’s wrong with typological thinking? Philosophy of Science 76(3):355-371. • Papin A, Reed JL, Palsson BO (2004). Hierarchical thinking in network biology: the unbiased modularization of biochemical networks. Trends in Biochemical Sciences • Mesoudi A (2007). A Darwinian theory of cultural evolution can promote an 29(12):641-647. evolutionary synthesis for the social sciences. Biological Theory 2(3):263-275. • Proulx SR, Promislow DEL, Phillips PC (2005). Network thinking in ecology and • Mayr, E. (1955). Karl Jordan’s contribution to current concepts in systematics and evolution. Trends in Ecology and Evolution 20(6):345-53. evolution. In Evolution and the diversity of life (pp. 297–306). Cambridge, MA: Harvard University Press. Reprinted in E. Mayr (1976). • Svensson EI, Calsbeek R (2012). Adaptive Landscapes in Evolutionary Biology. Oxford University Press. • Mayr, E. (1957). Species concepts and definitions. In E. Mayr (Ed.), The species problem. Reprinted in E. Mayr (1976) (pp. 1–22). Washington, DC: American Association for the Advancement of Science. 22

Hinweis der Redaktion

  1. \n
  2. \n
  3. \n
  4. \n
  5. \n
  6. \n
  7. \n
  8. \n
  9. \n
  10. \n
  11. \n
  12. \n
  13. \n
  14. \n
  15. \n
  16. \n
  17. \n
  18. ...this is a rooted cladogram showing unscaled branches. Which of the species is the oldest? Which is the youngest? Which is most ancestral? Most derived? Most primitive? Most advanced? Most simple? Most complex?\n\nThe answer is that a phylogeny provides NO INFORMATION about any of these questions!\n\nOmland et al. p. 856\n
  19. \n
  20. \n
  21. \n
  22. \n
  23. \n
  24. \n
  25. \n
  26. \n
  27. \n
  28. \n
  29. \n