Paper Info
Title
Automatic Generation of Cognitive Theories using Genetic Programming
Abstract
Cognitive neuroscience is the branch of neuroscience that studies the neural mechanisms underpinning cognition and develops theories explaining them. Within cognitive neuroscience, computational neuroscience focuses on modeling behavior, using theories expressed as computer programs. Up to now, computational theories have been formulated by neuroscientists. In this paper, we present a new approach to theory development in neuroscience: the automatic generation and testing of cognitive theories using genetic programming (GP). Our approach evolves from experimental data cognitive theories that explain "the mental program" that subjects use to solve a specific task. As an example, we have focused on a typical neuroscience experiment, the delayed-match-to-sample (DMTS) task. The main goal of our approach is to develop a tool that neuroscientists can use to develop better cognitive theories.
Year
DOI
Venue
2007
10.1007/s11023-007-9070-6
Minds and Machines
Keywords
Field
DocType
Cognitive neuroscience,Computational neuroscience,Automatic generation of cognitive theories,Genetic programming,Delayed-match-to-sample
Computational neuroscience,Rational analysis,Cognitive neuroscience,Cognitive science,Computer science,Genetic programming,Artificial intelligence,Integrative neuroscience,Cognition,Cognitive architecture,Systems neuroscience
Journal
Volume
Issue
ISSN
17
3
0924-6495
Citations 
PageRank 
References 
9
0.78
11
Authors
2
Name
Order
Citations
PageRank
Enrique Frias-Martinez123817.11
Fernand Gobet211526.08