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Agent-Based Modelling of Ecosystems for Sustainable Resource Management

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Multi-Agent Systems and Applications (ACAI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2086))

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Abstract

We present agent-based modelling and social simulation in particular application to ecosystem management. The steps in designing and building an agent-based model are discussed, as are the methodological problems typically encountered. Examples of relevant agent-based models are given. The task of integrated ecosystem management is considered and examples are given of agent-based modelling in this context. As a further illustration, consideration is given to a possible agent-based model of the Fraser River watershed in British Columbia, and to particular difficulties that it presents.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Essex, Colchester, CO4 3SQ, UK

    Jim Doran

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  1. Jim Doran
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Editor information

Editors and Affiliations

  1. Department of Electronics and Computer Science Highfield, University of Southampton, Southampton, SO17 1BJ, UK

    Michael Luck

  2. Facultiy of Electr. Engineering, Dept. of Cybernetics Technicka 2, Czech Technical University, 166 27, Prague 6, Czech Republic

    Vladimír Mařík  & Olga Štěpánková  & 

  3. Dept.of Med. Cybernetics and Artificial Intelligence, University of Vienna, Freyung 6, 1010, Vienna, Austria

    Robert Trappl

  4. Austrian Research Institute for Artificial Intelligence, Schottengasse 3, 1010, Vienna, Austria

    Robert Trappl

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© 2001 Springer-Verlag Berlin Heidelberg

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Doran, J. (2001). Agent-Based Modelling of Ecosystems for Sustainable Resource Management. In: Luck, M., Mařík, V., Štěpánková, O., Trappl, R. (eds) Multi-Agent Systems and Applications. ACAI 2001. Lecture Notes in Computer Science(), vol 2086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47745-4_18

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  • DOI: https://doi.org/10.1007/3-540-47745-4_18

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  • Print ISBN: 978-3-540-42312-6

  • Online ISBN: 978-3-540-47745-7

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