Evolving control metabolisms for a robot

This article demonstrates a new method of programming artificial chemistrie s. It uses the emerging capabilities of the system's dynamics for informati on-processing purposes. By evolution of metabolisms that act as control pro grams for a small robot one achieves the adaptation of the internal metabol ic pathways as well as the selection of the most relevant available exteroc eptors. The underlying artificial chemistry evolves efficient information-p rocessing pathways with most benefit for the desired task, robot navigation . The results show certain relations to such biological systems as motile b acteria.