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

Chrystopher L. Nehaniv

doi:10.1117/12.403714

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

Chrystopher L. Nehaniv

Research output: Contribution to journal › Conference article › peer-review

3 Citations (Scopus)

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.

Original language	English
Pages (from-to)	13-26
Number of pages	14
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	4196
DOIs	https://doi.org/10.1117/12.403714
Publication status	Published - 1 Dec 2000
Event	Sensor Fusion and Decentralized Control in Robotic Systems III - Boston, USA Duration: 6 Nov 2000 → 8 Nov 2000

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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.",

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N2 - 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.

AB - 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.

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

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