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Unbounded Evolutionary Dynamics in a System of Agents that Actively Process and Transform Their Environment

Channon

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Abstract

Bedau et al.'s statistical classification system for long-term evolutionary dynamics provides a test for open-ended evolution. Making this test more rigorous, and passing it, are two of the most important open problems for research into systems of agents that actively process and transform their environment. This paper presents a detailed description of the application of this test to ‘Geb’, a system designed to verify and extend theories behind the generation of evolutionarily emergent systems. The result is that, according to these statistics, Geb exhibits unbounded evolutionary dynamics, making it the first autonomous artificial system to pass this test. However, having passed it, the most prudent course of action is to look for weaknesses in the test. The test is criticized, most significantly with regard to its normalization method for artificial systems. Furthermore, this paper presents a modified normalization method, based on component activity normalization, that overcomes these criticisms. The results of the revised test, when applied to Geb, indicate that this system does indeed exhibit open-ended evolution.

Acceptance Date May 18, 2006
Publication Date Aug 29, 2006
Publicly Available Date Mar 28, 2024
Journal Genetic Programming and Evolvable Machines
Print ISSN 1389-2576
Publisher Springer Verlag
Pages 253 - 281
DOI https://doi.org/10.1007/s10710-006-9009-3
Keywords evolutionary dynamics; variable-size genomes; coevolution; biotic selection; emergence
Publisher URL https://doi.org/10.1007/s10710-006-9009-3

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