Cognitive Robotics: The Return of the Body in the Sciences of Mind
Bipin Indurkhya
International Institute of Information Technology,
Georgi Stojanov
The American
Robots are increasingly becoming what computers have been for the sciences of cognition from the 1960s to date. Admittedly, “Cognitive robotics” as such rarely appears in cognitive science curricula but there are now numerous scientific meetings on Developmental/Epigenetic/Evolutionary/Social/Adaptive/Intelligent/Bio Robotics to mention but a few. Robotics, and more generally, control systems theory is taking the place of computers as metaphor of choice for cognitive systems. In a way, we are witnessing a grand return of the body in the sciences of mind. This course represents an exposure to the main ideas in the field.
Day 1
The return of the
body in the sciences of mind
-
Robots:
Beyond the computer metaphor in cognitive science
-
Varieties of embodiment
-
Robotic
Evolution: From Shakey to Keepon via Neo, Toto,
Cog and Petitagé
-
Developmental
robotics: Lessons from developmental psychology
Required
Cisek, P. (1999) “Beyond the computer metaphor: Behavior as interaction”. Journal of Consciousness Studies, 6(11-12): 125-142.
Georgi Stojanov (2001). Petitagé:
A case study in developmental robotics, Proceedings of
the First International Workshop on Epigenetic Robotics: Modeling Cognitive
Development in Robotic Systems.
Optional
readings:
Rodney A. Brooks (1991). Intelligence
without representation. Artificial
Intelligence, 47: (139 – 159)
Ziemke, T. (2001). Are
Robots Embodied?. In Proc. of the
First Intl. Workshop on Epigenetic Robotic.
Benjamin Kuipers,
Patrick Beeson, Joseph Modayil and
Day 2
So,
what is Cognitive Robotics?
-
I, Robot: first person, third person,
and robot’s point of view
-
Learning intrinsic environment
representations from sensory-motor interactions
-
Case studies (Toto, Yamabico)
Required
Andy Clark and Rick Grush (1999). Towards a cognitive robotics. Adaptive Behavior, 7(1):5-16.
Maja Mataric (1992). Integration of representation into goal-driven behavior-based
robots. IEEE Trans. on Robotics
and Automation, 8(3): 304 – 312.
J. Tani: "Model-based
learning for mobile robot navigation from the dynamical systems
perspective", IEEE Trans. on
Systems, Man, and Cybernetics Part B: Cybernetics, Vol.26 (3):421-436, 1996
Optional
readings:
Kevin O’Regan and Alva Noë (2001). A sensorimotor account of vision and visual consciousness.
Behavioral and Brain
Sciences, 24: 939 – 1031.
Day 3
Social Robots
-
Incorporating cognitive abilities in
robots.
-
Designing sociable robots.
-
Eliza-effect and its role in cognitive
robotics.
-
Robots and autistic children
-
Case studies (Kismet, Cog, Kozima’s Infanoid, MSU’s SAIL/DEV)
Required readings:
Cynthia Breazeal,
Daphna Buchsbaum, Jesse
Gray, David Gatenby,
and Bruce Blumberg (2004). Learning From and About Others:
Towards Using Imitation to Bootstrap the Social Understanding of Others by
Robots. Artificial
Life.
H. Kozima, C. Nakagawa, and H. Yano (2002). Emergence of imitation mediated by objects. Proc. 2nd international workshop on
epigenetic robotics: 59 – 61.
H. Kozima, C. Nakagawa, and H. Yano (2004). Can a robot
empathize with people? Artificial Life
and Robotics, 8(1):83-88
A. Billard, B. Robins, K. Dautenhahn, J. Nadel (2006). Building, a Mini-Humanoid Robot for the Rehabilitation of Children
with Autism. RESNA Assistive
Technology Journal.
Optional
readings:
C. Breazeal (2003). "Emotion and sociable humanoid robots," E. Hudlika (ed), International Journal of Human-Computer Studies, 59, pp.119-155.
C. Breazeal (2003). "Towards sociable robots," T. Fong (ed), Robotics and Autonomous Systems, 42(3-4), pp. 167-175.
T. Salter, K. Dautenhahn, R. te Boekhorst
(2006) Learning
about natural human-robot interaction styles. Robotics and
Autonomous Systems 54(2): 127-134.
Joe Saunders, Chrystopher Nehaniv, Kerstin Dautenhahn (2006) Using Self-Imitation to Direct Learning. Proc. The 15th IEEE International Symposium on Robot and Human Interactive Communication.
http://www.androidscience.com/proceedings2006/6Hanson2006ExploringTheAesthetic.pdf
http://www.wired.com/wired/archive/15.01/alive.html
Day 4
Physical-model-based
understanding of cognitive phenomena.
-
Theory of mind for robots
-
Body and language
-
Understanding metaphors
Required
readings:
B. Indurkhya, (1992) Metaphor and Cognition.
Georgi Stojanov, Goran Trajkovski,
Optional
readings:
Webb, B (2001) Can robots make good models of biological behavior? Behavioral and brain sciences, 24(6)
Schlesinger,
M. (2004). Evolving agents as a metaphor for the developing child. Developmental Science, 7:154-168.
Georgi Stojanov (1999).
Embodiment as Metaphor:
Metaphorizing-in the Environment. Lecture Notes in Artificial Intelligence Vol.
1562: 88-98, Springer
Day 5
Present and the Future
-
Challenges of open-ended learning
-
The place and the meaning of internal
value system (e.g. motivations, curiosity, emotions) in Cognitive Robot
Architectures
-
Interactivism as a proper theoretical
framework for CR
Required
readings:
Mark Bickhard (2004)
The Dynamic Emergence of Representation, In H. Clapin, P. Staines, P. Slezak (Eds.) Representation in
Mind: New Approaches to Mental Representation. (71-90).
Elsevier.
Georgi Stojanov,
Optional
readings:
V. Zykov, E. Mytilinaios,
B. Adams and H. Lipson (2005). Self-reproducing machines.
Nature, 435 (
Jordan Zlatev, (2001). The Epigenesis of Meaning in Human Beings, and Possibly in Robots. Minds and Machines, 11(2): 155 – 195. Springer
Buisson J.-C. (2004). A rhythm recognition computer program to advocate
interactivist perception. Cognitive
Science, 28:1(75-87)
Assessment
Students who take the course for credit
will be asked to write a brief (7-10 page) paper on
one of the themes related to Cognitive Robotics discussed in the course.
International Institute of Information Technology,
He has lectured on robotics to school
children in
The American