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Intervening to Achieve Co-Operative Ecosystem Management: Towards an Agent Based Model

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Abstract

We propose an advanced agent-based modelling approach to ecosystem management, informed and motivated by consideration of the Fraser River watershed and its management problems. Agent-based modelling is introduced, and a three-stage computer-based research programme is formulated, the focus of which is on how best to intervene to cause stakeholders to co-operate effectively in ecosystem management, and on the objective discovery and comparison of intervention strategies by way of computer experimentation. The agent-based model outlined is technically relatively complex, and several potential difficulties in its detailed development are discussed. Types of ecosystem intervention strategy that might plausibly be discovered or recommended by the model are projected and compared with those currently advocated in the literature.

Suggested Citation

  • Jim Doran, 2001. "Intervening to Achieve Co-Operative Ecosystem Management: Towards an Agent Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(2), pages 1-4.
    • Handle: RePEc:jas:jasssj:2000-17-1
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    Cited by:

    1. Johannes Dahlke & Kristina Bogner & Matthias Mueller & Thomas Berger & Andreas Pyka & Bernd Ebersberger, 2020. "Is the Juice Worth the Squeeze? Machine Learning (ML) In and For Agent-Based Modelling (ABM)," Papers 2003.11985, arXiv.org.
    2. Hua Xing & Shuhong Mo & Xiaoyan Liang & Ying Li, 2021. "Water Resources Allocation Based on Complex Adaptive System Theory in the Inland River Irrigation District," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    3. Minh Nguyen-Duc & Alexis Drogoul, 2007. "Using Computational Agents to Design Participatory Social Simulations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(4), pages 1-5.
    4. Hare, M & Deadman, P, 2004. "Further towards a taxonomy of agent-based simulation models in environmental management," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 25-40.

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