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Building better trust between humans and machines  2016-06-21
MIT-SUTD researchers are creating improved interfaces to help machines and humans work together to complete tasks.
Apprendimento per rinforzo e codifica tramite popolazione neurale: un modello per il reaching applicato a due task  2007-03-19
WIVA3 - 3° Workshop Italiano Vita Artificiale
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
“It’s okay if it breaks and blows up”  2016-06-30
MIT’s thriving maker culture is on display in ABC network’s “BattleBots” competition.
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).
Empirical Analysis of Generalization and Learning in XCS with Gradient Descent  2007-10-30
Lanzi P. L., Butz M. V., Goldberg D. E. (2007). GECCO 2007: Genetic and Evolutionary Computation Conference. 1814-1821.
New tool offers snapshots of neuron activity  2017-06-26
FLARE technique can reveal which cells respond during different tasks.
Featured video: #AskMIT — Using your full brain  2017-03-15
Kids ask tough questions; MIT students, staff, and faculty answer. This episode of "#AskMIT" describes how much of our brains we really use.
Surprise-Driven Belief Revision  2007-04-10
Lorini, E., Castelfranchi, C. (2006); In Proceedings of Second Biennial Conference on Cognitive Science, St. Petersburg, 9-13 June, 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.