Evolving reaction-diffusion controllers for minimally cognitive animats

Authors:
Kyran Dale
Affiliations:
Centre for Computational Neuroscience and Robotics (CCNR), Informatics, University of Sussex, Brighton, UK
Venue:
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Year:
2006

Citing 3
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The evolution of reaction-diffusion controllers for minimally cognitive agents

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Abstract

This paper describes work carried out to investigate whether a classic reaction-diffusion (RD) system could be used to control a ‘minimally cognitive' animat The reaction-diffusion system chosen was that first described by Gray and Scott (Gray-Scott) and the minimally cognitive behaviors those used by Beer et al involving the fixation and discrimination of diamond and circle shapes by a whiskered animat The parameters of this RD-controller were evolved using an evolutionary, or genetic, algorithm (GA).