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Artificial Intelligence techniques: An introduction to their use for modelling environmental systems

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  • Chen, Serena H.
  • Jakeman, Anthony J.
  • Norton, John P.

Abstract

Knowledge-based or Artificial Intelligence techniques are used increasingly as alternatives to more classical techniques to model environmental systems. We review some of them and their environmental applicability, with examples and a reference list. The techniques covered are case-based reasoning, rule-based systems, artificial neural networks, fuzzy models, genetic algorithms, cellular automata, multi-agent systems, swarm intelligence, reinforcement learning and hybrid systems.

Suggested Citation

  • Chen, Serena H. & Jakeman, Anthony J. & Norton, John P., 2008. "Artificial Intelligence techniques: An introduction to their use for modelling environmental systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 379-400.
    • Handle: RePEc:eee:matcom:v:78:y:2008:i:2:p:379-400
    DOI: 10.1016/j.matcom.2008.01.028
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    References listed on IDEAS

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