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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
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.
Automated global structure extraction for effective local building block processing in XCS  2007-03-13
Butz, M.V., Pelikan, M., Llorà, X., & Goldberg, D.E. (2006) Automated global structure extraction for effective local building block processing in XCS. Evolutionary Computation, 14, 345-380.
Building Robots with Analogy-Based Anticipation  2007-05-09
Petkov, G., Naydenov, Ch., Grinberg, M., Kokinov(2006); Proceedings of the KI 2006, 29th German Conference on Artificial Intelligence, Bremen
Creating therapies for Alzheimer's disease by targeting neural circuits  2016-11-10
Study finds a complex series of molecular, cellular, circuit and network-level changes contribute to the progression of Alzheimer's.
First-ever 3-D printed robots made of both solids and liquids  2016-04-06
System from Computer Science and Artificial Intelligence Lab 3-D prints hydraulically-powered robot bodies, with no assembly required.
Robots with Anticipation and Attention  2007-04-22
Johansson, B., and Balkenius, C. (2005). Robots with Anticipation and Attention. In Funk, P. , Rognvaldsson, T., and Xiong, N. (Eds.) Advances in Artificial Intelligence in Sweden (pp. 202-204). Västerås, Sweden: Mälardalen University.
“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.
Problem Solution Sustenance in XCS  2007-04-23
Butz, M.V., Goldberg, D.E., Lanzi, P.L., & Sastry, K. (2007). Problem Solution Sustenance in XCS: Markov Chain Analysis of Niche Support Distributions and Consequent Computational Complexity. Genetic Programming and Evolvable Machines, 8, 5-37.
 

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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.