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Robot Control and the Evolution of Modular Neurodynamics
2001
Theory in biosciences
A modular approach to neural behavior control of autonomous robots is presented. It is based on the assumption that complex internal dynamics of recurrent neural networks can efficiently solve complex behavior tasks. For the development of appropriate neural control structures an evolutionary algorithm is introduced, which is able to generate neuromodules with specific functional properties, as well as the connectivity structure for a modular synthesis of such modules. This so called EN S 3
doi:10.1078/1431-7613-00047
fatcat:kdzfwswlffhw3ix77kybgglayu