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Evolution Tunes Coevolution: Modelling Robot Cognition Mechanisms

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Genetic and Evolutionary Computation – GECCO 2004 (GECCO 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3102))

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Abstract

We introduce a framework for brain modelling tasks, following a collaborative coevolutionary approach. A new coevolutionary scheme is also proposed which emphasizes collaborator selection issue. The proposed approach is employed to construct a computational model of brain motor areas, which is tested in driving a simulated robot.

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References

  1. Kandel, E.R., Schwartz, J.H., Jessell, T.M.: Principles of Neural Science, 3rd edn. Appleton & Lange (2000)

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  3. Wiegand, R.P., Liles, W.C., De Jong, K.A.: An empirical analysis of collaboration methods in cooperative coevolutionary algorithms. In: Proc. GECCO 2001 (2001)

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© 2004 Springer-Verlag Berlin Heidelberg

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Maniadakis, M., Trahanias, P. (2004). Evolution Tunes Coevolution: Modelling Robot Cognition Mechanisms. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24854-5_66

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  • DOI: https://doi.org/10.1007/978-3-540-24854-5_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22344-3

  • Online ISBN: 978-3-540-24854-5

  • eBook Packages: Springer Book Archive

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