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

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.

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Year of publication:	2008
Authors:	Chen, Serena H. ; Jakeman, Anthony J. ; Norton, John P.
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 78.2008, 2, p. 379-400
Publisher:	Elsevier
Subject:	Case-based reasoning \| Cellular automata \| Multi-agent \| Environmental modelling

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010748800