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Proceedings Paper

Evolvability in biologically inspired robotics: solutions for achieving open-ended evolution
Author(s): Chrystopher L. Nehaniv
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Paper 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.

Paper Details

Date Published: 16 October 2000
PDF: 14 pages
Proc. SPIE 4196, Sensor Fusion and Decentralized Control in Robotic Systems III, (16 October 2000); doi: 10.1117/12.403714
Show Author Affiliations
Chrystopher L. Nehaniv, Univ. of Hertfordshire (United Kingdom)

Published in SPIE Proceedings Vol. 4196:
Sensor Fusion and Decentralized Control in Robotic Systems III
Gerard T. McKee; Paul S. Schenker, Editor(s)

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