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Artificial Life

Spring 2001, Vol. 7, No. 2, Pages 171-190
(doi: 10.1162/106454601753138998)
© 2001 Massachusetts Institute of Technology
Evolving Control Metabolisms for a Robot
Article PDF (435.6 KB)

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.