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dc.contributor.authorFrias-Martinez, E-
dc.contributor.authorGobet, F-
dc.identifier.citationFrias-Martinez , E., & Gobet, F. (in press). Automatic generation of cognitive theories using genetic programming. Minds & Machines.en
dc.description.abstractCognitive 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. 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.en
dc.format.extent232320 bytes-
dc.publisherSpringer Verlagen
dc.subjectCognitive Neuroscienceen
dc.subjectComputational Neuroscienceen
dc.subjectTheory generationen
dc.subjectTheory buildingen
dc.subjectGenetic Programmingen
dc.subjectevolutionary computationen
dc.subjectscientific discoveryen
dc.subjectfitness functionen
dc.subjecttree representationen
dc.subjectcognitive architectureen
dc.titleAutomatic Generation of Cognitive Theories using Genetic Programmingen
dc.typeResearch Paperen
Appears in Collections:Psychology
Dept of Life Sciences Research Papers

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