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Searching for Glider Guns in Cellular Automata: Exploring Evolutionary and Other Techniques

  • Conference paper
Artificial Evolution (EA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4926))

Abstract

We aim to construct an automatic system for the discovery of collision-based universal cellular automata that simulate Turing machines in their space-time dynamics using gliders and glider guns.

In this paper, an evolutionary search for glider guns with different parameters is described and other search techniques are also presented as benchmark. We demonstrate the spontaneous emergence of an important number of novel glider guns discovered by genetic algorithms.

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Authors and Affiliations

  1. Faculty of Computing, Engineering and Mathematical Sciences, University of the West of England, Bristol, BS16 1QY, UK

    Emmanuel Sapin & Larry Bull

Authors
  1. Emmanuel Sapin
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  2. Larry Bull
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Editor information

Nicolas Monmarché El-Ghazali Talbi Pierre Collet Marc Schoenauer Evelyne Lutton

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Sapin, E., Bull, L. (2008). Searching for Glider Guns in Cellular Automata: Exploring Evolutionary and Other Techniques. In: Monmarché, N., Talbi, EG., Collet, P., Schoenauer, M., Lutton, E. (eds) Artificial Evolution. EA 2007. Lecture Notes in Computer Science, vol 4926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79305-2_22

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  • DOI: https://doi.org/10.1007/978-3-540-79305-2_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79304-5

  • Online ISBN: 978-3-540-79305-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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