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

  • Authors:

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

  • Affiliations:

  • Integrated Catchment Assessment and Management (iCAM), Fenner School of Environment and Society, Building 48a, The Australian National University, Canberra, ACT 0200, Australia;Integrated Catchment Assessment and Management (iCAM), Fenner School of Environment and Society, Building 48a, The Australian National University, Canberra, ACT 0200, Australia;Integrated Catchment Assessment and Management (iCAM), Fenner School of Environment and Society, Building 48a, The Australian National University, Canberra, ACT 0200, Australia

  • Venue:
  • Mathematics and Computers in Simulation
  • Year:
  • 2008

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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.