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Choice stabilities in the graph model for conflict resolution

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  • Rêgo, Leandro Chaves
  • Kilgour, D. Marc

Abstract

The graph model for conflict resolution is a comprehensive, adaptable system to represent and analyze a strategic conflict. Though construction of a graph model requires relatively little information about preferences, obtaining that information is often the most difficult step of model calibration. We propose a version of the graph model that avoids preferences, relying instead on direct information about individual choices. After defining appropriate choice functions, we extend the five basic graph model stability definitions to this new context. We then show how the new definitions are related, both to each other and to the standard definitions based on preference relations. We also use a simple model to illustrate how choice stabilities can differ from preference-based stabilities.

Suggested Citation

  • Rêgo, Leandro Chaves & Kilgour, D. Marc, 2022. "Choice stabilities in the graph model for conflict resolution," European Journal of Operational Research, Elsevier, vol. 301(3), pages 1064-1071.
  • Handle: RePEc:eee:ejores:v:301:y:2022:i:3:p:1064-1071
    DOI: 10.1016/j.ejor.2021.11.034
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    References listed on IDEAS

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    3. Zhao, Shinan & Xu, Haiyan & Hipel, Keith W. & Fang, Liping, 2019. "Mixed stabilities for analyzing opponents’ heterogeneous behavior within the graph model for conflict resolution," European Journal of Operational Research, Elsevier, vol. 277(2), pages 621-632.
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    7. Amartya K. Sen, 1971. "Choice Functions and Revealed Preference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 38(3), pages 307-317.
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    Cited by:

    1. Sabino, Emerson Rodrigues & Rêgo, Leandro Chaves, 2023. "Optimism pessimism stability in the graph model for conflict resolution for multilateral conflicts," European Journal of Operational Research, Elsevier, vol. 309(2), pages 671-682.
    2. Bekius, Femke & Gomes, Sharlene L., 2023. "A framework to design game theory-based interventions for strategic analysis of real-world problems with stakeholders," European Journal of Operational Research, Elsevier, vol. 309(2), pages 925-938.

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