MindRACES

Skip to content
You are here: Home » Events » Workshop ABiALS 2006 » sinList
Sections
Personal tools

CognitiveScienceNews

Integrating Reinforcement-Learning, Accumulator Models, and Motor-Primitives to Study Action Selection and Reaching in Monkeys  2007-03-15
Ognibene, D. and Mannella, F. and Pezzulo, G. and Baldassarre, G. Proceedings of ICCM 2006
From Actions to Goals and Vice-versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE  2007-04-15
Pezzulo, G.; Baldassarre, G.; Butz, M.V.; Castelfranchi, C. & Hoffmann, J. From Actions to Goals and Vice-versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE. In Butz, M.; Sigaud, O.; Pezzulo, G. & Baldassarre, G. (ed.) Anticipatory Behavior in Adaptive Learning Systems: Advances in Anticipatory Processing, Springer LNAI 4520, 2007
Schema-based design and the AKIRA Schema Language  2007-12-13
Pezzulo, G. & Calvi, G. Schema-based design and the AKIRA Schema Language: An Overview Anticipatory Behavior. In Butz, M.; Sigaud, O.; Pezzulo, G. & Baldassarre, G. (ed.) in Adaptive Learning Systems: Advances in Anticipatory Processing, Springer LNAI 4520, 2007
Automated global structure extraction for effective local building block processing in XCS  2007-03-13
Butz, M.V., Pelikan, M., LlorĂ , X., & Goldberg, D.E. (2006) Automated global structure extraction for effective local building block processing in XCS. Evolutionary Computation, 14, 345-380.
Shared Intention Revisited: The Limits of Egoism are Not the Limits of Individualism  2007-04-10
Tummolini, L. (submitted to Economics and Philosophy)
Evolving internal reinforcers for an intrinsically motivated reinforcement-learning robot.  2007-04-16
Schembri M., Mirolli M., Baldassarre G. (submitted). Evolving internal reinforcers for an intrinsically motivated reinforcement-learning robot. The 6th IEEE International Conference on Development and Learning (ICDL2007).
Emergent Effector-Independent Internal Spaces: Adaptation and Intermanual Learning Transfer in Humans and Neural Networks  2007-10-30
International Joint Conference on Neural Networks (IJCNN 2007), 1509-1514.
DiPRA: Distributed Practical Reasoning Architecture  2007-11-15
Giovanni Pezzulo, Gianguglielmo Calvi and Cristiano Castelfranchi (in press). Proceedings of the 28 International Joint Conference on Artificial Intelligence (IJCAI 2007).
Rule-based evolutionary online learning systems  2007-03-13
Butz, M.V. (2006). Rule-based evolutionary online learning systems: A principled approach to LCS analysis and design. Studies in Fuzziness and Soft Computing Series, Springer Verlag, Berlin-Heidelberg, Germany.
 

Powered by Plone

Anticipatory Cognitive Science is a research field that ensembles artificial intelligence, biology, psychology, neurology, engineering and philosophy in order to build anticipatory cognitive systems that are able to face human tasks with the same anticipatory capabilities and performance. In deep: Cognitive science is the interdisciplinary study of mind and intelligence, embracing philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. Its intellectual origins are in the mid-1950s when researchers in several fields began to develop theories of mind based on complex representations and computational procedures. Its organizational origins are in the mid-1970s when the Cognitive Science Society was formed and the journal Cognitive Science began. Since then, more than sixty universities in North America, Europe, Asia, and Australia have established cognitive science programs, and many others have instituted courses in cognitive science.