MindRACES

Skip to content
You are here: Home » Dissemination » MindRACES - Publicity Documents » sinList
Sections
Personal tools

CognitiveScienceNews

Fadel Adib joins Media Lab faculty  2017-01-27
Adib is directing a new research group at the Media Lab, aiming to uncover, analyze, and engineer natural and human-made networks.
Study: Distinct brain rhythms and regions help us reason about categories  2018-01-25
High-frequency gamma oscillations sort similar-looking objects; lower-frequency beta oscillations kick in when connections are more abstract.
Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems  2007-10-30
In Butz M. V., Sigaud O., Pezzulo G. (Eds.), Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior (LNAI 4520). Berlin Heidelberg: Springer-Verlag. (in press)
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.
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.
Robotic system monitors specific neurons  2017-08-30
Success rate is comparable to that of highly trained scientists performing the process manually.
Putting the brain at the center of anesthesiology  2018-02-16
Emery N. Brown explains how statistics and neuroscience improve anesthesiology at the American Association for the Advancement of Science's annual meeting.
Trajectory learning through motor babbling: reaching with obstacle avoidance.  2008-05-15
Ferrauto Tomassino, Ognibene Dimitri, Caligiore Daniele, Baldassare Gianluca (2007). Trajectory learning through motor babbling: reaching with obstacle avoidance. In Nicosia Giuseppe, Pavone Mario, Atti del Quarto Workshop Italiano di Vita Artificiale e Computazione Evolutiva (WIVACE 2007) (In formato elettronico). Catania: Università di Catania. (Baia Samuele, Sampietri, Italia, 5-7 Settembre 2007).
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
 

Powered by Plone

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.