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Top Down Modelling with Genetic Programming

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3215))

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Abstract

This paper explores the connection between top down modelling and the artificial intelligence (AI) technique of Genetic Programming (GP). It provides examples to illustrate how the author and colleagues took advantage of this connection to solve real world problems. Following this account, the paper speculates about how GP may be developed further to meet more challenging real world problems. It calls for novel applications of GP to quantify a top down design in order to make rapid progress with the understanding of organizations.

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References

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Author information

Authors and Affiliations

  1. Biocomputing and Developmental Systems Group, Computer Science and Information Systems, University of Limerick, Ireland

    Daniel Howard

Authors
  1. Daniel Howard
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Howard, D. (2004). Top Down Modelling with Genetic Programming. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_31

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  • DOI: https://doi.org/10.1007/978-3-540-30134-9_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23205-6

  • Online ISBN: 978-3-540-30134-9

  • eBook Packages: Springer Book Archive

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