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Towards the evolutionary emergence of increasingly complex advantageous behaviours

Channon

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Abstract

The generation of complex entities with advantageous behaviours beyond our manual design capability requires long-term incremental evolution with continuing emergence. In this paper, we argue that artificial selection models, such as traditional genetic algorithms, are fundamentally inadequate for this goal. Existing natural selection systems are evaluated, revealing both significant achievements and pitfalls. Thus, some requirements for the perpetuation of evolutionary emergence are established. An (artificial) environment containing simple virtual autonomous organisms with neural controllers has been created to satisfy these requirements and to aid in the development of an accompanying theory of evolutionary emergence. Resulting behaviours are reported alongside their neural correlates. In a particular example, the collective behaviour of one species provides a selective force which is overcome by another species, demonstrating the incremental evolutionary emergence of advantageous behaviours via naturally arising coevolution. While the results fall short of the ultimate goal, experience with the system has provided some useful lessons for the perpetuation of emergence towards increasingly complex advantageous behaviours.

Acceptance Date Nov 7, 1999
Publication Date Jul 1, 2000
Publicly Available Date Mar 29, 2024
Journal International Journal of Systems Science
Print ISSN 0020-7721
Publisher Taylor and Francis
Pages 843 -860
DOI https://doi.org/10.1080/002077200406570
Keywords advantageous behaviour, complexity, emergence, evolution, natural selection
Publisher URL https://doi.org/10.1080/002077200406570

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