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A reinforcement-learning model of top-down attention based on a potential-action map

Ognibene, D.; Balkenius, C. & Baldassarre, G.. 2008. A reinforcement-learning model of top-down attention based on a potential-action map. Pezzulo Giovanni, Rino Falcone, Castelfranchi Cristiano (ed.). The Anticipatory Approach. Berlin. Springer-Verlag.

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Topics associated with the current item:

AREA:Sensori-motor representations

KINDOF:Improvement

KINDOF:Novel Approach

PARTNER:ISTC-CNR

PARTNER:LUCS

THEME:Active vision

THEME:Attention

WPS:4

Authors and Collaborators:

Ognibene, D. Balkenius, C. Baldassarre, G
Created by ognibene
Contributors : Ognibene, D., Balkenius, C., Baldassarre, G
Last modified 2008-05-15 12:42 PM
 

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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.