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Phase transition networks: A modelling technique supporting the evolution of autonomous agents' tactical and operational activities

  • Novel Techniques and Applications of Evolutionary Algorithms
  • Conference paper
  • First Online:
Evolutionary Computing (AISB EC 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1305))

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Abstract

The purpose of this paper is to introduce a modelling technique which the authors are using to evolve autonomous agents' action plans by means of genetic programming operations. The technique is described and its application is illustrated through examples. A brief outline is given of a formal model construction methodology that has been developed to accompany the modelling technique. Finally, the features of the technique are reviewed. Particular note is made of its suitability for modelling a broad variety of artificial and natural systems for problem-solving and domain exploration by means of evolutionary computation.

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Authors and Affiliations

  1. Department of Computer Science, The University of Liverpool, L69 7ZF, Liverpool

    Anthony G. Deakin & Derek F. Yates

Authors
  1. Anthony G. Deakin
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  2. Derek F. Yates
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David Corne Jonathan L. Shapiro

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© 1997 Springer-Verlag Berlin Heidelberg

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Deakin, A.G., Yates, D.F. (1997). Phase transition networks: A modelling technique supporting the evolution of autonomous agents' tactical and operational activities. In: Corne, D., Shapiro, J.L. (eds) Evolutionary Computing. AISB EC 1997. Lecture Notes in Computer Science, vol 1305. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027180

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  • DOI: https://doi.org/10.1007/BFb0027180

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63476-8

  • Online ISBN: 978-3-540-69578-3

  • eBook Packages: Springer Book Archive

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