University of Hertfordshire

Evolvability in biologically-inspired robotics: Solutions for achieving open-ended evolution

Research output: Contribution to journalConference article

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Original languageEnglish
Number of pages14
Pages (from-to)13-26
JournalProceedings of SPIE - The International Society for Optical Engineering
Journal publication date1 Dec 2000
Volume4196
DOIs
Publication statusPublished - 1 Dec 2000
EventSensor Fusion and Decentralized Control in Robotic Systems III - Boston, USA
Duration: 6 Nov 20008 Nov 2000

Abstract

We discuss the problem of evolvability in robotic and evolutionary computation systems against the background of biological and more general types of evolution. Open-ended evolution is rigorously defined in terms of unbounded complexity growth and posed as a challenge problem. The first solutions (due to the author) to the problem of open-ended evolution are contained in this paper. These solutions seem unsatisfying but nevertheless are mathematically correct. An implemented solution in software and outlines of solutions in evolving populations of robots and of self-reproducing entities are described. Possible objections to all these solutions are discussed and these point the way to a more sophisticated notion of embodiment with respect to an environment that seems necessary for practical open-ended evolvability.

ID: 16022398