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Using motor babbling and Hebb rules for modeling the development of reaching with obstacles and grasping  2008-05-15
Caligiore D., Ferrauto T., Parisi D., Accornero N., Capozza M., Baldassarre G. (2008). Using motor babbling and Hebb rules for modeling the development of reaching with obstacles and grasping. In Dillmann Rüdiger, Maloney Colette, Sandini Giulio, Asfour Tamim, Cheng Gordon, Metta Giorgio, Ude Ales (orgs.), International Conference on Cognitive Systems (CogSys2008) (In electronic format). (University of Karlsruhe, Karlsruhe, Germany, 2-4 April 2008)
Neuroscientists discover roles of gene linked to Alzheimer’s  2018-05-31
Study reveals why people with the APOE4 gene have higher risk of the disease.
A developmental approach to dynamic scene understanding  2007-04-22
Balkenius, C., and Johansson, B. (2006). A developmental approach to dynamic scene understanding. Proceedings of the Sixth International Conference on Epigenetic Robotics (p. 165). Lund University Cognitive Studies, 128.
Lifting the veil on "valence," brain study reveals roots of desire and dislike  2018-01-23
Researchers map the amygdala's distinct but diverse and dynamic neighborhoods where feelings are assigned.
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.
Using Particle Filters to Anticipate the Location of Reappearance of a Temporarily Hidden Target  2007-06-01
Self-driving cars for country roads  2018-05-07
Today’s autonomous vehicles require hand-labeled 3-D maps, but CSAIL’s MapLite system enables navigation with just GPS and sensors.
DiPRA: Distributed Practical Reasoning Architecture  2007-11-15
Giovanni Pezzulo, Gianguglielmo Calvi and Cristiano Castelfranchi (in press). Proceedings of the 28 International Joint Conference on Artificial Intelligence (IJCAI 2007).
Schema-based design and the AKIRA Schema Language  2007-12-13
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
 

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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.