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Mechanisms of emergent computation in cellular automata

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Parallel Problem Solving from Nature — PPSN V (PPSN 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1498))

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Abstract

We introduce a class of embedded-particle models for describing the emergent computational strategies observed in cellular automata (CAs) that were evolved for performing certain computational tasks. The models are evaluated by comparing their estimated performances with the actual performances of the CAs they model. The results show, via a close quantitative agreement, that the embedded-particle framework captures the main information processing mechanisms of the emergent computation that arise in these evolved CAs.

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Authors and Affiliations

  1. Santa Fe Institute, 1399 Hyde Park Road, 87501, Santa Fe, NM, USA

    Wim Hordijk, James P. Crutchfield & Melanie Mitchell

Authors
  1. Wim Hordijk
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  2. James P. Crutchfield
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  3. Melanie Mitchell
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Editor information

Agoston E. Eiben Thomas Bäck Marc Schoenauer Hans-Paul Schwefel

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© 1998 Springer-Verlag Berlin Heidelberg

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Hordijk, W., Crutchfield, J.P., Mitchell, M. (1998). Mechanisms of emergent computation in cellular automata. In: Eiben, A.E., Bäck, T., Schoenauer, M., Schwefel, HP. (eds) Parallel Problem Solving from Nature — PPSN V. PPSN 1998. Lecture Notes in Computer Science, vol 1498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056903

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  • DOI: https://doi.org/10.1007/BFb0056903

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65078-2

  • Online ISBN: 978-3-540-49672-4

  • eBook Packages: Springer Book Archive

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