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

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

Mathematics and Computers in Simulation (MATCOM), 2008, vol. 78, issue 2, 379-400

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.

Keywords: Case-based reasoning; Cellular automata; Multi-agent; Environmental modelling (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (23)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:78:y:2008:i:2:p:379-400

DOI: 10.1016/j.matcom.2008.01.028

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