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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.
Drones that drive  2017-06-26
CSAIL team’s system of quadcopters that fly and drive suggest another approach to developing flying cars.
Phone-based laser rangefinder works outdoors  2016-03-25
Depth sensor built from off-the-shelf parts filters out ambient infrared light.
DiPRA Distributed Practical Reasoning Architecture  2006-12-06
(2007) Proceedings of IJCAI 2007
Gradient descent methods in learning classifier systems  2007-04-23
Butz, M.V., Goldberg, D.E., & Lanzi, P.L. (2005) Gradient descent methods in learning classifier systems: Improving XCS performance in multistep problems. IEEE Transactions on Evolutionary Computation, 9, 452-473.
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.
Function Approximation with XCS  2007-04-23
Butz, M.V., Lanzi, P.L., & Wilson, S.W. (in press). Function Approximation with XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Transactions on Evolutionary Computation.
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.
From Actions to Goals and Vice-versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE  2007-04-15
Pezzulo, G.; Baldassarre, G.; Butz, M.V.; Castelfranchi, C. & Hoffmann, J. From Actions to Goals and Vice-versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE. In Butz, M.; Sigaud, O.; Pezzulo, G. & Baldassarre, G. (ed.) Anticipatory Behavior 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.