The use of genetic algorithms for the development of sensorimotor control systems

Abstract
Provides a high-level review of current and recent work in the use of genetic algorithm-based techniques to develop sensorimotor control systems for autonomous agents. It focuses on network-based controllers and genetic encoding issues associated with them. The paper closes with a discussion of the possibility of using artificial evolutionary techniques to help tackle more specifically scientific questions about natural sensorimotor systems.

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