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Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems  2007-10-30
Seventh International Conference on Hybrid Intelligent Systems (HIS 2007), 12-17.
Toward an integrated biomimetic model of reaching.   2008-05-15
Caligiore D., Parisi D., Baldassarre G. (2007). Towards an integrated biomimetic model of reaching. Demiris Y., Scassellati B., Mareschal D. (eds.). The 6th IEEE International Conference on Development and Learning (ICDL2007). IEEE Catalog Number: 07EX1740C, ISBN: 1-4244-1116-5, Library of Congress: 2007922394, pp. 241-246. London: Imperial College
Gradient descent methods in learning classifier systems  2007-04-23
Butz, M.V., Goldberg, D.E., & Lanzi, P.L. (2005) Gradient descent methods in learning classifier systems: Improving XCS performance in multistep problems. IEEE Transactions on Evolutionary Computation, 9, 452-473.
Shared Intention Revisited: The Limits of Egoism are Not the Limits of Individualism  2007-04-10
Tummolini, L. (submitted to Economics and Philosophy)
The Interplay of Analogy-Making with Active Vision and Motor Control in Anticipatory Robots  2007-04-22
Kiryazov, K., Petkov, G., Grinberg, M. , Kokinov, B., and Balkenius, C. (2007). The Interplay of Analogy-Making with Active Vision and Motor Control in Anticipatory Robots. In Butz, M. et al. (Ed.) Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior. LNAI, 4520, Springer-Verlag
Anticipatory coordination through action observation and behavior adaptation  2007-03-05
Michele Piunti, Cristiano Castelfranchi and Rino Falcone. In AISB 2007 Symposium Mindful Environments, Newcastle (2007).
The benefits of anticipation  2007-04-22
Johansson, B. and Balkenius, C. (2006). The benefits of anticipation: an experimental study. In Butz, M., Sigaud, O., Pezzulo, G., and Baldassarre, G. (Eds.), Proceedings of third workshop on anticipatory behavior in adaptive learning systems (ABiALS), Rome.
Anticipatory Models in Gaze Control  2007-04-22
Balkenius, C. and Johansson, B. (2007). Anticipatory Models in Gaze Control: A Developmental Model. Cognitive Processing, in press.
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
 

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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.