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Analogy, Causality, &
Discovery in Science:
The Engines of Human
Thought
Kevin Niall Dunbar
Director, Laboratory for Thinking, Reasoning,
& Educational Neuroscience
Department of Human Development
and Quantitative Methodology
University of Maryland College Park
Conclusions from last
talk
CausesConceptual change in science:
Unexpected findings act as trigger for
Analogical & causal thinking
But how general?
What are the brain based mechanisms
underlying the use of Causal and
analogical reasoning?
Determine
generalizability
New set of Scientists and
doctors reasoning about
patients in a
Neurological hospital
(Dumas & Dunbar et al. 2014)
3
Determine generalizability
New set of Scientists and doctors reasoning about
patients in a Neurological ward (Dumas & Dunbar et al. 2014)
4
How do we know
about causality
We need spatial and temporal contiguity
Easy to identify cause of Ebola,
Not easy to identify AIDS and
Smoking
Similarly Doctors at medical rounds
Plausible theories:
Inconsistent and Consistent data
Data Consistent:
attended to
Data Inconsistent
Gated out
Responding to Data
What are the Neural
mechanisms of
causality?
• Split brain patients
• Epilepsy unresponsive to drugs
• Corpus callosum cut
• Left hemisphere and right hemisphere
separated
Fugelsang, Roser, Dunbar
Gazzaniga 2005-2009
9
Left and right
hemisphere
involvement
• Right Hemisphere Causal Perception
• Left Hemisphere Causal Induction
0.0000
0.0500
0.1000
0.1500
0.2000
Causal Non-Causal
MeanSignalChange
Inferior Parietal Lobule
-0.1475
-0.1100
-0.0725
-0.0350
0.0025
0.0400
Causal Non-Causal
MeanSignalChange
Middle frontal Gyrus
Causal Perception
Fugelsang, Roser, Corballis, Gazzaniga, & Dunbar (2005)
Are we hardwired for Perception
above Cognition in causal thinking?
• What if we left the perception the same but
varied the instructions?
• Same Movies
• Different Cover story
“… imagine that the two circular objects are
billiard balls. These trials will be preceded by
the prompt in the center of the screen: Two
Billiard Balls”
“… imagine that the two circular objects are
positively charged particles that repel each
other when they come close to being in contact
with each other. These trials will be preceded
by the prompt: Two Positively Charged
Particles”
Causal Judgments: Resp.
Causal Judgments: RT’s
“… imagine that the two circular objects are
billiard balls. These trials will be preceded
by the prompt in the center of the screen:
Two Billiard Balls”
“… imagine that the two circular objects are
positively charged particles that repel each
other when they come close to being in
contact with each other. These trials will be
preceded by the prompt: Two Positively
Charged Particles”
Use ERP
Results
Framing Causal Thinking
• Thought to be hard-wired
for perception.
• But, this work shows it
can be changed by
framing
• Even at level of brain
• Key role for framing in
education
• Can overcome biases
Analogy
Analogy Key component of science
Experiment design, data interpretation,
explanations
Scientists very different from classic
experimental work
Use cross domain analogies
Framing relevant here too:
Goals frame analogy. How?
Using neuroimaging to address these questions
Analogies: Frontal poles
• Green, Fugelsang, Shamosh Dunbar 2006
Latent Semantic Analysis (LSA)
• Use large corpus of written text. For
example, a selection of books that a
typical person might read from
childhood to college (approximately 93
million words)
• Count number of times words occur in
documents. Create a matrix of counts
• Use statistical methods (single value
decomposition) to reduce the
dimensionality of the matrix (from
50,000 to 300 dimensions)
• The resulting vectors (in a 300
dimensional space) are the semantic
representations
Green et al 2012
Analogy Generation
ROI of Frontopolar Cortex
Summary, so far
• Frontopolar cortex crucial to analogical and
creative thinking
• Modulated by how semantically near and far
the components of the analogy are
• What is the timecourse?
• How does this tie in to Learning?
Functional Near-InfraRed Spectroscopy
(fNIRS)
• Targets 2 Species of Hb
– Oxygenated (830nm)
– Deoxygenated (700nm)
fNIRS Probe Set
Task Outline
Exp #1: Preliminary Results
DLPFC DLPFC
RLPFC
SMG
STG
DLPFC
MTG
SMGSMG
Exp #1: Preliminary Results
DLPFC DLPFC
RLPFC
SMG
STG
DLPFC
MTG
SMGSMG
Exp #1: Preliminary Results
DLPFC DLPFC
RLPFC
SMG
STG
DLPFC
MTG
SMGSMG
fNIRS Preliminary Results
DLPFC DLPFC
RLPFC
SMG
STG
DLPFC
MTG
SMGSMG
Analogy Generation Studies
• Generation similar results
–RLPFC/Frontopolar activated early when
first relation identified RLPFC
• Suggests that prior theories that integration
occurs after all information presented not
valid and that interventions aimed at the
framing of the analogy is most important.
Causality & Analogy
• Framing determines performance and can
modulate the recruitment of key areas
involved in analogy.
• Consistent with the idea that the frontal
lobes are flexible, particularly at early
components of reasoning
• Shows that rather than being doomed to
making reasoning errors in causal and
analogical thought changing the context is
an effective intervention
Dunbar Perc 2009; Biology of Physics
Adam
Green
Jonathan
Fugelsang
Leslie
Atkins
35

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Analogy, Causality, and Discovery in Science: The engines of human thought

  • 1. Analogy, Causality, & Discovery in Science: The Engines of Human Thought Kevin Niall Dunbar Director, Laboratory for Thinking, Reasoning, & Educational Neuroscience Department of Human Development and Quantitative Methodology University of Maryland College Park
  • 2. Conclusions from last talk CausesConceptual change in science: Unexpected findings act as trigger for Analogical & causal thinking But how general? What are the brain based mechanisms underlying the use of Causal and analogical reasoning?
  • 3. Determine generalizability New set of Scientists and doctors reasoning about patients in a Neurological hospital (Dumas & Dunbar et al. 2014) 3
  • 4. Determine generalizability New set of Scientists and doctors reasoning about patients in a Neurological ward (Dumas & Dunbar et al. 2014) 4
  • 5. How do we know about causality We need spatial and temporal contiguity Easy to identify cause of Ebola, Not easy to identify AIDS and Smoking Similarly Doctors at medical rounds
  • 7. Data Consistent: attended to Data Inconsistent Gated out Responding to Data
  • 8. What are the Neural mechanisms of causality? • Split brain patients • Epilepsy unresponsive to drugs • Corpus callosum cut • Left hemisphere and right hemisphere separated
  • 10. Left and right hemisphere involvement • Right Hemisphere Causal Perception • Left Hemisphere Causal Induction
  • 11. 0.0000 0.0500 0.1000 0.1500 0.2000 Causal Non-Causal MeanSignalChange Inferior Parietal Lobule -0.1475 -0.1100 -0.0725 -0.0350 0.0025 0.0400 Causal Non-Causal MeanSignalChange Middle frontal Gyrus Causal Perception Fugelsang, Roser, Corballis, Gazzaniga, & Dunbar (2005)
  • 12. Are we hardwired for Perception above Cognition in causal thinking? • What if we left the perception the same but varied the instructions? • Same Movies • Different Cover story
  • 13. “… imagine that the two circular objects are billiard balls. These trials will be preceded by the prompt in the center of the screen: Two Billiard Balls” “… imagine that the two circular objects are positively charged particles that repel each other when they come close to being in contact with each other. These trials will be preceded by the prompt: Two Positively Charged Particles”
  • 16. “… imagine that the two circular objects are billiard balls. These trials will be preceded by the prompt in the center of the screen: Two Billiard Balls” “… imagine that the two circular objects are positively charged particles that repel each other when they come close to being in contact with each other. These trials will be preceded by the prompt: Two Positively Charged Particles” Use ERP
  • 18. Framing Causal Thinking • Thought to be hard-wired for perception. • But, this work shows it can be changed by framing • Even at level of brain • Key role for framing in education • Can overcome biases
  • 19. Analogy Analogy Key component of science Experiment design, data interpretation, explanations Scientists very different from classic experimental work Use cross domain analogies Framing relevant here too: Goals frame analogy. How?
  • 20. Using neuroimaging to address these questions
  • 21. Analogies: Frontal poles • Green, Fugelsang, Shamosh Dunbar 2006
  • 22. Latent Semantic Analysis (LSA) • Use large corpus of written text. For example, a selection of books that a typical person might read from childhood to college (approximately 93 million words) • Count number of times words occur in documents. Create a matrix of counts • Use statistical methods (single value decomposition) to reduce the dimensionality of the matrix (from 50,000 to 300 dimensions) • The resulting vectors (in a 300 dimensional space) are the semantic representations
  • 23. Green et al 2012 Analogy Generation
  • 25. Summary, so far • Frontopolar cortex crucial to analogical and creative thinking • Modulated by how semantically near and far the components of the analogy are • What is the timecourse? • How does this tie in to Learning?
  • 26. Functional Near-InfraRed Spectroscopy (fNIRS) • Targets 2 Species of Hb – Oxygenated (830nm) – Deoxygenated (700nm)
  • 29. Exp #1: Preliminary Results DLPFC DLPFC RLPFC SMG STG DLPFC MTG SMGSMG
  • 30. Exp #1: Preliminary Results DLPFC DLPFC RLPFC SMG STG DLPFC MTG SMGSMG
  • 31. Exp #1: Preliminary Results DLPFC DLPFC RLPFC SMG STG DLPFC MTG SMGSMG
  • 32. fNIRS Preliminary Results DLPFC DLPFC RLPFC SMG STG DLPFC MTG SMGSMG
  • 33. Analogy Generation Studies • Generation similar results –RLPFC/Frontopolar activated early when first relation identified RLPFC • Suggests that prior theories that integration occurs after all information presented not valid and that interventions aimed at the framing of the analogy is most important.
  • 34. Causality & Analogy • Framing determines performance and can modulate the recruitment of key areas involved in analogy. • Consistent with the idea that the frontal lobes are flexible, particularly at early components of reasoning • Shows that rather than being doomed to making reasoning errors in causal and analogical thought changing the context is an effective intervention
  • 35. Dunbar Perc 2009; Biology of Physics Adam Green Jonathan Fugelsang Leslie Atkins 35

Hinweis der Redaktion

  1. [[talked to his colleague and he said that they still can’t do timing relations in fmri, can’t break down into intervals (e.g. 100ms after, 200ms after, etc.) at 10Hz and see which parts of the brain are active. Can only do it in terms of ROI analyses]] [[Has been difficult to do it in fMRI with these types of stimuli and with verbal response; so far no one has been able to do it, though people have tried]]