Examining the stroop effect using a develomental spatial neuroevolution system

Amit Benbassat, Avishai Henik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We present a novel approach to the study of cognitive abilities by using evolutionary computation. To this end we use a spatial, developmental, neuroevolution system presented here for the first time. We use our system to evolve ANNs to perform simple abstractions of cognitive tasks such as size perception, counting color identification and reading. We define these tasks to explore hypotheses about the evolution of counting and the the nature of the Stroop effect. Our results show the versatility of our evolutionary system. We show that we can evolve it to perform a variety of cognitive tasks, and also that evolved networks exhibit interference behavior when dealing with multiple tasks and incongruent data.

Original languageEnglish
Title of host publicationGECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference
EditorsSara Silva
PublisherAssociation for Computing Machinery, Inc
Pages747-748
Number of pages2
ISBN (Electronic)9781450334884
DOIs
StatePublished - 11 Jul 2015
Event17th Genetic and Evolutionary Computation Conference, GECCO 2015 - Madrid, Spain
Duration: 11 Jul 201515 Jul 2015

Publication series

NameGECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference

Conference

Conference17th Genetic and Evolutionary Computation Conference, GECCO 2015
Country/TerritorySpain
CityMadrid
Period11/07/1515/07/15

Keywords

  • Cognitive simulation
  • Developmental EA
  • Evolutionary algorithm
  • Neuroevolution

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence

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