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Unique visual stimulation may be new treatment for Alzheimer’s   2016-12-07
Noninvasive technique reduces beta amyloid plaques in mouse models of Alzheimer’s disease.
Apprendimento per rinforzo e codifica tramite popolazione neurale: un modello per il reaching applicato a due task  2007-03-19
WIVA3 - 3° Workshop Italiano Vita Artificiale
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
Solving Deep Memory POMDPs with Recurrent Policy Gradients  2007-04-17
D. Wierstra, A. Foerster, J. Schmidhuber: Solving Deep Memory POMDPs with Recurrent Policy Gradients. Under review.
Empirical Analysis of Generalization and Learning in XCS with Gradient Descent  2007-10-30
Lanzi P. L., Butz M. V., Goldberg D. E. (2007). GECCO 2007: Genetic and Evolutionary Computation Conference. 1814-1821.
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.
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.
Scientists identify brain circuit that drives pleasure-inducing behavior  2017-03-22
Surprisingly, the neurons are located in a brain region thought to be linked with fear.
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.
 

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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.