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Noise and the pursuit of complexity: A study in evolutionary robotics

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Book cover Evolutionary Robotics (EvoRobots 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1468))

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Abstract

This paper describes a new approach for promoting the evolution of relatively complex behaviours in evolutionary robotics, based on the use of noise in simulation. A ‘homing navigation’ behaviour is evolved (in simulation) for the Khepera mobile robot, and it is shown that high noise levels in the simulation promote the evolution of relatively complex behavioural and neural dynamics. It is also demonstrated that simulation noise can actually accelerate artificial evolution.

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Authors and Affiliations

  1. Centre for Computational Neuroscience and Robotics and School of Cognitive and Computing Sciences, University of Sussex, BN1 9SB, Brighton, UK

    Anil K Seth

Authors
  1. Anil K Seth
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Philip Husbands Jean-Arcady Meyer

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© 1998 Springer-Verlag Berlin Heidelberg

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Seth, A.K. (1998). Noise and the pursuit of complexity: A study in evolutionary robotics. In: Husbands, P., Meyer, JA. (eds) Evolutionary Robotics. EvoRobots 1998. Lecture Notes in Computer Science, vol 1468. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64957-3_68

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  • DOI: https://doi.org/10.1007/3-540-64957-3_68

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64957-1

  • Online ISBN: 978-3-540-49902-2

  • eBook Packages: Springer Book Archive

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