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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.
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
Modeling Top-Down Perception and Analogical Transfer with Single Anticipatory Mechanism.  2007-05-09
Georgi Petkov, Kiril Kiryazov, Maurice Grinberg, Boicho Kokinov (2007); Proceedings of the Second European Cognitive Science Conference, Greece
A Schema Based Model of the Praying Mantis  2006-12-06
(2006) From animals to animats 9: Proceedings of the Ninth International Conference on Simulation of Adaptive Behaviour
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
Modeling Expectations in Cognitive Agents  2007-04-10
Lorini, E., Falcone, R. (2005); In Proceedings of AAAI 2005 Fall Symposium-From Reactive to Anticipatory Cognitive Embodied Systems, Arlington, Virginia, USA, 3-6 November, 2005.
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
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.
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.
 

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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.