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Modelling the Emergence of Resource-Sharing Conventions: an Agent-Based Approach

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  • Olivier Thebaud
  • Bruno Locatelli

Abstract

This paper presents an agent-based simulation framework for the analysis of the emergence of resource-sharing conventions. The model is based on Sugden's article entitled "Spontaneous order", which looks at the conditions under which conventions regarding access to a natural resource become established. The aim of the model is to explore the potential of agent-based modelling for the analysis of these questions. First, the structure of a simulation model based on the example of driftwood collection used by Sugden is presented. Second, simulations of various scenarios about the behavioural rules followed by agents are described, and simulation results are presented. The paper concludes with a brief discussion of the advantages of agent-based models for analysing social processes such as the emergence of conventions regulating access to natural resources.

Suggested Citation

  • Olivier Thebaud & Bruno Locatelli, 2001. "Modelling the Emergence of Resource-Sharing Conventions: an Agent-Based Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(2), pages 1-3.
    • Handle: RePEc:jas:jasssj:2000-16-1
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    Citations

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    Cited by:

    1. Coronese, Matteo & Occelli, Martina & Lamperti, Francesco & Roventini, Andrea, 2023. "AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model," Ecological Economics, Elsevier, vol. 208(C).
    2. Inês Lobo & Joana Dimas & Samuel Mascarenhas & Diogo Rato & Rui Prada, 2023. "When "I" Becomes "We": Modelling Dynamic Identity on Autonomous Agents," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 26(3), pages 1-9.
    3. Dirk Helbing & Anders Johansson, 2010. "Cooperation, Norms, and Revolutions: A Unified Game-Theoretical Approach," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-15, October.
    4. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2024. "Towards sustainable agriculture: behaviors, spatial dynamics and policy in an evolutionary agent-based model," LEM Papers Series 2024/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Purnomo, Herry & Mendoza, Guillermo A. & Prabhu, Ravi & Yasmi, Yurdi, 2005. "Developing multi-stakeholder forest management scenarios: a multi-agent system simulation approach applied in Indonesia," Forest Policy and Economics, Elsevier, vol. 7(4), pages 475-491, May.
    6. Christophe Le Page & Nicolas Becu & Pierre Bommel & François Bousquet, 2012. "Participatory Agent-Based Simulation for Renewable Resource Management: The Role of the Cormas Simulation Platform to Nurture a Community of Practice," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-10.
    7. Bertacchini, Enrico & Grazzini, Jakob & Vallino, Elena, 2013. "Emergence and Evolution of Property Rights: an Agent Based Perspective," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201340, University of Turin.

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