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Evolving a generalised behaviour: Artificial ant problem revisited

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Evolutionary Programming VII (EP 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1447))

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Abstract

This research aims to demonstrate that a solution for artificial ant problem [4] is very likely to be non-general and relying on the specific characteristics of the Santa Fe trail. It then presents a consistent method which promotes producing general solutions. Using the concepts of training and testing from machine learning research, the method can be useful in producing general behaviours for simulation environments.

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References

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Author information

Authors and Affiliations

  1. Cognitive and Computing Sciences, University of Sussex, BN1 9QH, Brighton, UK

    Ibrahim Kuscu

Authors
  1. Ibrahim Kuscu
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Editor information

V. W. Porto N. Saravanan D. Waagen A. E. Eiben

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© 1998 Springer-Verlag Berlin Heidelberg

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Kuscu, I. (1998). Evolving a generalised behaviour: Artificial ant problem revisited. In: Porto, V.W., Saravanan, N., Waagen, D., Eiben, A.E. (eds) Evolutionary Programming VII. EP 1998. Lecture Notes in Computer Science, vol 1447. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0040830

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  • DOI: https://doi.org/10.1007/BFb0040830

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64891-8

  • Online ISBN: 978-3-540-68515-9

  • eBook Packages: Springer Book Archive

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