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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.
Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems  2007-10-30
Seventh International Conference on Hybrid Intelligent Systems (HIS 2007), 12-17.
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.
“Exhibitionists” and “Voyeurs” do it better: a Shared Environment for Flexible Coordination with Tacit Messages  2007-04-10
Tummolini, L., Castelfranchi C., Ricci, A. Viroli, M., Omicini, A. (2005); in H. van Parunak, D. Weyns (Eds.) Lecture Notes in Artificial Intelligence, LNAI 3374, Sringer-Verlag Heidelberg, pp. 215-231.
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.
Shared Intention Revisited: The Limits of Egoism are Not the Limits of Individualism  2007-04-10
Tummolini, L. (submitted to Economics and Philosophy)
Data, drones, and 3-D-printed hearts  2015-12-08
Looking back on the year that was: Highlights from the Computer Science and Artificial Intelligence Lab in 2015.
Biologists find unexpected role for amyloid-forming protein  2015-09-24
Yeast protein could offer clues to how Alzheimer’s plaques form in the brain.
Vision system for household robots  2015-01-12
New algorithm could enable household robots to better identify objects in cluttered environments.
 

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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.