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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.
Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior  2007-10-30
(2007), LNAI 4520. Berlin Heidelberg: Springer-Verlag.
Effect of pure error-based fitness in XCS  2007-10-30
(2007). In Kovacs, T. et al. (Eds.) Learning Classifier Systems: International Workshops, IWLCS 2003-2005, LNAI 4399, Springer-Verlag, Berlin Heidelberg. 104-114.
RNN-based Learning of Compact Maps for Efficient Robot Localization  2007-04-17
A. Foerster, A. Graves, J. Schmidhuber: RNN-based Learning of Compact Maps for Efficient Robot Localization. ESANN 2007.
Learning to anticipate a temporarily hidden moving object  2007-06-01
Developing anticipatory and affective competences in multi agent systems  2007-04-16
C. Castelfranchi, R. Falcone and M. Piunti. In Proceedings of International Workshop on Multi-agent Systems and Simulation (ISC 2006), Palermo, Italy., 2006.
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.
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).
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.
 

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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.