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The unexpected aspects of Surprise  2007-04-10
Lorini, E., Castelfranchi, C. (2006); International Journal of Pattern Recognition and Artificial Intelligence, 20 (6), pp. 817-835.
Learning to select targets within targets in reaching tasks.   2008-05-15
Herbort O., Ognibene O., Butz M.V., Baldassarre G. (2007). Learning to select targets within targets in reaching tasks. The 6th IEEE International Conference on Development and Learning (ICDL2007).
Ingestible robots, glasses-free 3-D, and computers that explain themselves  2016-12-16
A look at 16 of the coolest things that happened at the Computer Science and Artificial Intelligence Laboratory in 2016.
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).
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)
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
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
Replicating the connection between muscles and nerves  2016-08-03
New chip could help test drugs for ALS, other neuromuscular disorders.
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
 

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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.