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Evolving control metabolisms for a robot.

J Ziegler·W Banzhaf
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Abstract

This article demonstrates a new method of programming artificial chemistries. It uses the emerging capabilities of the system's dynamics for information-processing purposes. By evolution of metabolisms that act as control programs for a small robot one achieves the adaptation of the internal metabolic pathways as well as the selection of the most relevant available exteroceptors. The underlying artificial chemistry evolves efficient information-processing pathways with most benefit for the desired task, robot navigation. The results show certain relations to such biological systems as motile bacteria.

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MetabolismModels, BiologicalModels, ChemicalRoboticsJournal ArticleResearch Support, Non-U.S. Gov't

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J Ziegler, W Banzhaf. 2001. Evolving control metabolisms for a robot.. https://doi.org/10.1162/106454601753138998

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