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Evolving control metabolisms for a robot
1Department of Computer Science, University of Dortmund, 44221 Dortmund, Germany. ziegler.banzhaf@ls11.cs.uni-dortmund.de
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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