IDEAS home Printed from https://ideas.repec.org/a/spr/grdene/v34y2025i1d10.1007_s10726-024-09910-z.html
   My bibliography  Save this article

Introducing Credible Movements in the Optimism Pessimism Stability in the Graph Model

Author

Listed:
  • Emerson Rodrigues Sabino

    (Universidade Federal de Pernambuco)

  • Leandro Chaves Rêgo

    (Universidade Federal do Ceará)

Abstract

The behaviour of decision makers (DMs) is an important aspect in the analysis of strategic conflicts. The Graph Model for Conflict Resolution (GMCR) is a systematic methodology that enables to simulate DMs interactions in conflict situations by using several stability definitions capable of capturing features of human behaviour, pointing out recommendations for the decision making process. However, not every DM behaviour can be captured by the existing GMCR solution concepts, so that the proposal of new ones is justified. In this sense, the objective of this work is to extend the Optimism Pessimism Stability by requiring that some or all DMs only make credible moves. In Credible Optimism Pessimism Stabilities (COPS), DMs average over the best and worst case scenarios according to a degree of optimism (DGO), however, a DM only leaves a state when the next one is preferable for him or her. Thus, DMs do not accept the risk to reach a lower payoff in the short term, anticipating to receive a better payoff in the long term. Following, the study investigates the consequences of changing the DGO and the conflict horizon in the states’ stability. Relations among the new stability definitions and other GMCR stability concepts are also analysed. An application to the Lake Gisborne conflict illustrates how the requirement of credible moves can alter the degree of optimism necessary for states’ stability.

Suggested Citation

  • Emerson Rodrigues Sabino & Leandro Chaves Rêgo, 2025. "Introducing Credible Movements in the Optimism Pessimism Stability in the Graph Model," Group Decision and Negotiation, Springer, vol. 34(1), pages 177-207, February.
    • Handle: RePEc:spr:grdene:v:34:y:2025:i:1:d:10.1007_s10726-024-09910-z
    DOI: 10.1007/s10726-024-09910-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10726-024-09910-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10726-024-09910-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rêgo, Leandro Chaves & Silva, Hugo Victor & Rodrigues, Carlos Diego, 2021. "Optimizing the cost of preference manipulation in the graph model for conflict resolution," Applied Mathematics and Computation, Elsevier, vol. 392(C).
    2. 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.
    3. Keith W. Hipel & Liping Fang & D. Marc Kilgour, 2020. "The Graph Model for Conflict Resolution: Reflections on Three Decades of Development," Group Decision and Negotiation, Springer, vol. 29(1), pages 11-60, February.
    4. Sharafat Ali & Haiyan Xu & Najid Ahmad, 2021. "Reviewing the strategies for climate change and sustainability after the US defiance of the Paris Agreement: an AHP–GMCR-based conflict resolution approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11881-11912, August.
    5. Ricardo Lopes Andrade & Maísa Mendonça Silva & Leandro Chaves Rêgo, 2023. "A Scientometric and Social Network Analysis of the Literature on the Graph Model for Conflict Resolution," Group Decision and Negotiation, Springer, vol. 32(5), pages 1061-1082, October.
    6. Garcia, Amanda & Obeidi, Amer & Hipel, Keith W., 2018. "Strategic advice for decision-making under conflict based on observed behaviour," Applied Mathematics and Computation, Elsevier, vol. 332(C), pages 96-104.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhu, Yan & Dong, Yucheng & Zhang, Hengjie & Fang, Liping, 2025. "Exploring the minimum cost conflict mediation path to a desired resolution within the inverse graph model framework," European Journal of Operational Research, Elsevier, vol. 321(2), pages 543-564.
    2. Liangyan Tao & Xuebi Su & Saad Ahmed Javed, 2021. "Inverse Preference Optimization in the Graph Model for Conflict Resolution based on the Genetic Algorithm," Group Decision and Negotiation, Springer, vol. 30(5), pages 1085-1112, October.
    3. Yu Han & Haiyan Xu & Liping Fang & Keith W. Hipel, 2022. "An Integer Programming Approach to Solving the Inverse Graph Model for Conflict Resolution with Two Decision Makers," Group Decision and Negotiation, Springer, vol. 31(1), pages 23-48, February.
    4. Huang, Yuming & Ge, Bingfeng & Hipel, Keith W. & Fang, Liping & Zhao, Bin & Yang, Kewei, 2023. "Solving the inverse graph model for conflict resolution using a hybrid metaheuristic algorithm," European Journal of Operational Research, Elsevier, vol. 305(2), pages 806-819.
    5. Sabino, Emerson Rodrigues & Rêgo, Leandro Chaves, 2024. "Minimax regret stability in the graph model for conflict resolution," European Journal of Operational Research, Elsevier, vol. 314(3), pages 1087-1097.
    6. Emerson Rodrigues Sabino & Danielle Costa Morais & Leandro Chaves Rêgo & Gabriela Silva Silva, 2024. "A group decision model to support the water resources conflict resolution in Carás Valley, a northeast Brazilian region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(3), pages 8139-8157, March.
    7. Leandro Chaves Rêgo & Yan Saraiva Cordeiro, 2024. "Matrix representations of berge stabilities in the graph model for conflict resolution," Annals of Operations Research, Springer, vol. 332(1), pages 125-148, January.
    8. Peng, Benhong & Zhao, Yinyin & Elahi, Ehsan & Wan, Anxia, 2023. "Can third-party market cooperation solve the dilemma of emissions reduction? A case study of energy investment project conflict analysis in the context of carbon neutrality," Energy, Elsevier, vol. 264(C).
    9. Shafi, Ahsan & Wang, Zhanqi & Ehsan, Muhsan & Riaz, Faizan Ahmed & Ali, Muhammad Rashid & Xu, Feng, 2023. "A game theory approach to land acquisition conflicts in Pakistan," Land Use Policy, Elsevier, vol. 132(C).
    10. Shawei He & Xiaohui Liu & Xianmei Li, 2023. "A Graph Model for Conflict Resolution with Time-varying Attitudes and Its Application to China-US Trade Disputes," Group Decision and Negotiation, Springer, vol. 32(3), pages 603-631, June.
    11. M. Nassereddine & M. A. Ellakkis & A. Azar & M. D. Nayeri, 2021. "Developing a Multi-methodology for Conflict Resolution: Case of Yemen’s Humanitarian Crisis," Group Decision and Negotiation, Springer, vol. 30(2), pages 301-320, April.
    12. Edina Molnár & Asif Mahmood & Naveed Ahmad & Amir Ikram & Shah Ali Murtaza, 2021. "The Interplay between Corporate Social Responsibility at Employee Level, Ethical Leadership, Quality of Work Life and Employee Pro-Environmental Behavior: The Case of Healthcare Organizations," IJERPH, MDPI, vol. 18(9), pages 1-16, April.
    13. Liu, Fengyu & Feng, Jue & Zhai, Ge & Razzaq, Asif, 2022. "Influence of fiscal decentralization and renewable energy investment on ecological sustainability in EU: What is the moderating role of institutional governance?," Renewable Energy, Elsevier, vol. 200(C), pages 1265-1274.
    14. Zhao, Jingsong & Zhang, Chen & Wu, Yong & Zhu, Jing & Ji, Yuanpu & Sun, Jiaojiao, 2024. "The influence mechanism of multi-government environmental regulation synergy on corporate environmental responsibility," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1296-1319.
    15. Inohara, Takehiro, 2023. "Similarities, differences, and preservation of efficiencies, with application to attitude analysis, within the Graph Model for Conflict Resolution," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1330-1348.
    16. Yasuhiro Asa & Takeshi Kato & Ryuji Mine, 2022. "Composite Consensus-Building Process: Permissible Meeting Analysis and Compromise Choice Exploration," Papers 2211.08593, arXiv.org.
    17. Xuanpeng Yin & Xuanhua Xu & Xiaohong Chen, 2020. "Risk mechanisms of large group emergency decision-making based on multi-agent simulation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 1009-1034, August.
    18. Ricardo Lopes Andrade & Maísa Mendonça Silva & Leandro Chaves Rêgo, 2023. "A Scientometric and Social Network Analysis of the Literature on the Graph Model for Conflict Resolution," Group Decision and Negotiation, Springer, vol. 32(5), pages 1061-1082, October.
    19. Xiufen Gu & Lailei Gu & Dayong Wang & Sajad Jamshidi, 2023. "Resolving Trans-Boundary Water Conflicts: Third-Party Mediation Using an Inverse Approach of GMCR Under Incomplete Preference Environments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(15), pages 6071-6088, December.
    20. Carmen Ramos & Patricio Aroca & Juan Carlos Miranda & Felipe Acum, 2024. "Analyzing regional imbalances in CO2 emissions: a study for Chile," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(1), pages 1391-1412, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:grdene:v:34:y:2025:i:1:d:10.1007_s10726-024-09910-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.