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Establishing Mutual Beliefs by Joint Attention: towards a Formal Model of Public Events.  2007-04-10
Lorini E., Tummolini L., Herzig A. (2005); In Bruno G. Bara, Lawrence Barsalou, & Monica Bucciarelli, Proceedings of the XXVII Annual Conference of the Cognitive Science Society, July 21-23, Stresa, Italy
An Experimental Study of Anticipation in Simple Robot Navigation  2007-04-22
Johansson, B. and Balkenius, C. (2007). An Experimental Study of Anticipation in Simple Robot Navigation. In Butz, M. et al. (Ed.) Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior. LNAI, 4520, Springer-Verlag.
Schema-based design and the AKIRA Schema Language: An Overview  2007-11-15
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
Studying XCS/BOA learning in Boolean functions  2007-03-13
Butz, M.V., & Pelikan, M. (2006). Studying XCS/BOA learning in Boolean functions: Structure encoding and random boolean functions. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2006). 1449-1456.
Building Robots with Analogy-Based Anticipation  2007-05-09
Petkov, G., Naydenov, Ch., Grinberg, M., Kokinov(2006); Proceedings of the KI 2006, 29th German Conference on Artificial Intelligence, Bremen
Kay Tye receives Freedman Prize for Exceptional Basic Research  2016-08-03
Neuroscientist recognized by the Brain and Behavior Research Foundation for project on neural circuits for anxiety control.
  2009-10-14
Quasi-Online Reinforcement Learning for Robots  2007-03-20
B. Bakker, V. Zhumatiy, G. Gruener, J. Schmidhuber: Quasi-Online Reinforcement Learning for Robots, IEEE International Conference on Robotics and Automation (ICRA), 2006.
Holonomic Control of a robot with an omnidirectional drive  2007-04-17
R. Rojas, A. Gloye Förster: Holonomic Control of a robot with an omnidirectional drive, KI - Künstliche Intelligenz, vol. 20, nr. 2, BöttcherIT Verlag, 2006.
 

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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.