MindRACES

Skip to content
You are here: Home » Publications » ISTC-CNR Publications » Evolving internal reinforcers for an intrinsically motivated reinforcement-learning robot.
Sections
Personal tools
Views
  • State: visible

Evolving internal reinforcers for an intrinsically motivated reinforcement-learning robot.

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).

Click here to get the file

Size 0 kB - File type application/octet-stream


Topics associated with the current item:

Authors and Collaborators:

Schembri M., Mirolli M., Baldassarre G.
Created by ognibene
Contributors : Schembri M.,, Mirolli M.,, Baldassarre G.
Last modified 2007-04-16 12:35 PM
 

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.