Presentation at the research/industry meeting at BICA2015

1. Designing
systems
that
learn
habitudes
of
interac5on
November
6
2015
Olivier.georgeon@liris.cnrs.fr
h@p://liris.cnrs.fr/ideal
0 10 20 30 40 50
t
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2. Why
systems
should
learn
habitudes
of
interac5on?
• Many
possible
applica5ons
– Human-­‐machine
interac.ons
• Home
automa5on,
companion
robo5cs,
adap5ve
soJware
systems,
end-­‐user
programming,
etc.
• Profound
theore5cal
reasons
– Cogni.on
develops
by
sedimenta.on
of
habitudes
(David
Hume,
Edmund
Husserl,
Piaget,
etc.)
– Leads
to
self-­‐programming:
crucial
to
intelligence.
– Animal-­‐level
ar.ficial
intelligence
• In
sharp
contrast
with
tradi5onal
AI
that
solves
predefined
problems
and
reach
predefined
goals.
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3. Demonstra5on
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4. Rudimentary distal perception
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Detects
rela5ve
displacement
of
objects
and
approximate
direc5on
within
180°
span
(area
A,
B,
or
C).
“Likes”
rapprochement.
“Dislikes”
disappearance.
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5. Self-­‐programming
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6. 4.
Afford
Time
6.
Choose
Decision
Time
3.
Ac5vate
5.
Propose
7.
Enact
1.
Trace-­‐Based
Reasoning
6/7
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7. Eddie
robot
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8. Biologically
Inspired
Cogni5ve
Architecture
h@p://e-­‐ernest.blogspot.com/
8
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9. Research/industry
collabora5on
• Applica5ons
– E.g.
Video
Games
(#Aimergence)
• Partnerships
for
research
projects
– (student
internships,
Research
grants,
etc.)
• We
are
looking
for
jobs
!
• Open
to
your
sugges5ons…
9/9
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