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Higher-order Sequential Stabilities in the Graph Model for Conflict Resolution for Bilateral Conflicts

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Abstract

The Graph Model for Conflict Resolution (GMCR) is a flexible model and has been widely used for describing and analyzing conflicts. Stability analysis is used in the GMCR to determine possible solutions for the conflict. Several solution concepts have been proposed which accommodate different decision makers’ (DMs) behavior. Some of them are: Nash, General Metarationality (GMR) and Sequential Stability (SEQ). For a state to be Nash stable for a DM, such DM cannot move to a more preferred state in a single step. For GMR and SEQ, while considering moving to a more preferred state, the DM foresees whether the opponent can react leading the conflict to a state not preferred to the current one. What differs GMR and SEQ is that, in SEQ the opponent’s move simultaneously sanctions the focal DM and benefits the opponent. We show, by means of an example, that there are situations in which the opponent’s reaction is implausible in the sense that it involves the opponent leaving an SEQ stable state for him. In order to avoid that problem, we propose new solution concepts for the GMCR, called Higher-order Sequential Stabilities, and explore their relation with other solution concepts commonly used in the GMCR.

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Source: Hipel and Obeidi (2005)

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Source: Hipel and Obeidi (2005)

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Notes

  1. Throughout the paper, without loss of generality, we refer to the DM who moves first using feminine pronouns and to the opponent using masculine pronouns.

  2. We should mention that in the original stability analysis of Hipel and Obeidi (2005), they reported state 35 as Nash stable. However, state 35 is not Nash stable for DM SES since from state 35, DM SES has a UI to state 18. Since from state 18, DM GMDE can only sanction DM SES moving to state 17 or state 19 and neither of these moves are UI for DM GMDE, state 35 is GMR, but not SEQ for DM SES. Finally, state 35 is also SMR since DM SES cannot escape the sanction from state 19 to a state better than state 35 for him.

References

  • Aljefri YM, Bashar MA, Fang L, Hipel KW (2018) First-level hypergame for investigating misperception in conflicts. IEEE Trans Syst Man Cybern: Syst 48(12):2158–2175

    Google Scholar 

  • Bashar M, Obeidi A, Kilgour D, Hipel K (2016) Modeling fuzzy and interval fuzzy preferences within a graph model framework. IEEE Trans Fuzzy Syst 24(4):765–778

    Google Scholar 

  • Bashar MA, Kilgour DM, Hipel KW (2012) Fuzzy preferences in the graph model for conflict resolution. IEEE Trans Fuzzy Syst 20(4):760–770

    Google Scholar 

  • Cirincione J (2008) The incredible shrinking missile threat. Foreign Policy 166:68–70

    Google Scholar 

  • Fang L, Hipel K, Kilgour D (1989) Conflict models in graph form: Solution concepts and their interrelationships. Eur J Oper Res 41(1):86–100

    Google Scholar 

  • Fang L, Hipel KW, Kilgour DM (1993) Interactive decision making: the graph model for conflict resolution, vol 3. Wiley, Hoboken

    Google Scholar 

  • Ferejoh J (1986) Incumbent performance and electoral control. Public Choice 509:5–25

    Google Scholar 

  • Fraser NM, Hipel KW (1979) Solving complex conflicts. IEEE Trans Syst Man Cybern 9(12):805–816

    Google Scholar 

  • Fraser NM, Hipel KW (1984) Conflict analysis: models and resolutions, vol 11. North-Holland, Amsterdam

    Google Scholar 

  • Hamouda L, Kilgour DM, Hipel KW (2006) Strength of preference in graph models for multiple-decision-maker conflicts. Appl Math Comput 179(1):314–327

    Google Scholar 

  • He S, Kilgour DM, Hipel KW (2017) A general hierarchical graph model for conflict resolution with application to greenhouse gas emission disputes between USA and China. Eur J Oper Resh 257(3):919–932

    Google Scholar 

  • Hipel KW, Obeidi A (2005) Trade versus the environment: strategic settlement from a systems engineering perspective. Syst Eng 8(3):211–233

    Google Scholar 

  • Hipel KW, Kilgour DM, Fang L (2011) Wiley Encyclopedia of Operations Research and Management Science. In: The graph model for conflict resolution, vol 3. Wiley, New York, pp 2099–2111

  • Hipel KW, Fang L, Kilgour DM (2020) The graph model for conflict resolution: reflections on three decades of development. Group Decis Negot 29:11–60

    Google Scholar 

  • Howard N (1971) Paradoxes of rationality: games, metagames, and political behavior. MIT press, New York

    Google Scholar 

  • Inohara T, Hipel KW, Walker S (2007) Conflict analysis approaches for investigating attitudes and misperceptions in the war of 1812. J Syst Sci Syst Eng 16(2):181–201

    Google Scholar 

  • Kilgour D, Hipel K (2005) The graph model for conflict resolution: past, present, and future. Group Decis Negot 14(6):441–460

    Google Scholar 

  • Kilgour DM, Hipel KW, Fang L (1987) The graph model for conflicts. Automatica 23(1):41–55

    Google Scholar 

  • Kuang H, Bashar MA, Hipel KW, Kilgour DM (2015) Grey-based preference in a graph model for conflict resolution with multiple decision makers. IEEE Trans Syst Man Cybern Syst 45(9):1254–1267

    Google Scholar 

  • Li KW, Hipel KW, Kilgour DM, Fang L (2004) Preference uncertainty in the graph model for conflict resolution. IEEE Trans Syst Man Cybern-Part A: Syst Hum 34(4):507–520

    Google Scholar 

  • Nash J (1950) Equilibrium points in n-person games. Proc Nat Acad Sci 36(1):48–49

    Google Scholar 

  • Nash J (1951) Non-cooperative games. Ann Math 54(2):286–295

    Google Scholar 

  • Obeidi A, Kilgour D, Hipel KW (2009a) Perceptual graph model systems. Group Decis Negot 18(3):261–277

    Google Scholar 

  • Obeidi A, Kilgour D, Hipel KW (2009b) Perceptual stability analysis of a graph model system. IEEE Trans Syst Man Cybern Part A: Syst Hum 39(5):993–1006

    Google Scholar 

  • Osborne M (2004) An introduction to game theory. Oxford University Press, Oxford

    Google Scholar 

  • Rêgo LC, Santos AMd (2015) Probabilistic preferences in the graph model for conflict resolution. IEEE Trans Syst Man Cybern Syst 45(4):595–608

    Google Scholar 

  • Rêgo L, Santos AMd (2018) Upper and lower probabilistic preferences in the graph model for conflict resolution. Int J Approx Reason 98:96–111

    Google Scholar 

  • Rêgo LC, Vieira GIA (2017) Symmetric sequential stability in the graph model for conflict resolution with multiple decision makers. Group Decis Negot 26:775–792

    Google Scholar 

  • Rêgo LC, Vieira GIA (2020a) Interactive unawareness in the graph model for conflict resolution. IEEE Trans Syst Man Cybern Syst 50(3):829–839

    Google Scholar 

  • Rêgo LC, Vieira GIA (2020b) Alternative generalized metarationalities for multiple decision-maker conflicts. Group Decis Negot. https://doi.org/10.1007/s10726-020-09665-3

  • Robbins S (1990) Organization theory: structure, design and applications. Prentice- Hall Inc, Englewood Cliffs

    Google Scholar 

  • Sagan S (2000) The commitment trap: why the united states should not use nuclear threats to deter biological and chemical weapons attacks. Int Secur 24(4):85–115

    Google Scholar 

  • Vieira GIA, Rêgo LC (2020) Berge solution concepts in the graph model for conflict resolution. Group Decis Negot 29:103–125

    Google Scholar 

  • Walker G, Hipel K, Inohara T (2012) Multiple levels of preference in interactive strategic decisions. Appl Math Comput 218(12):6637–6647

    Google Scholar 

  • Wang J, Hipel KW, Fang L, Xu H, Kilgour DM (2019) Behavioral analysis in the graph model for conflict resolution. IEEE Trans Syst Man Cybern Syst 49(5):904–916

    Google Scholar 

  • Xu H, Hipel K, Kilgour D (2009) Multiple levels of preference in interactive strategic decisions. Discret Appl Math 157(15):3300–3313

    Google Scholar 

  • Xu H, Zhao J, Ke GY, Ali S (2019) Matrix representation of consensus and dissent stabilities in the graph model for conflict resolution. Discret Appl Math 259:205–217

    Google Scholar 

  • Yu J, Hipel K, Kilgour D, Fang L (2017) Fuzzy strength of preference in the graph model for conflict resolution with two decision makers. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, pp 3574–3577

  • Yu J, Hipel K, Kilgour D, Fang L (2019) Fuzzy levels of preference strength in a graph model with multiple decision makers. Fuzzy Sets Syst 377(15):71–84

    Google Scholar 

  • Zeng DZ, Fang L, Hipel KW, Kilgour DM (2006) Generalized metarationalities in the graph model for conflict resolution. Discret Appl Math 154(16):2430–2443

    Google Scholar 

  • Zeng DZ, Fang L, Hipel KW, Kilgour DM (2007) Policy equilibrium and generalized metarationalities for multiple decision-maker conflicts. IEEE Trans Syst Man Cybern Part A: Syst Hum 37(4):456–463

    Google Scholar 

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Funding

Funding was provided by Conselho Nacional de Desenvolvimento Científico e Tecnológico (307556/2017-4, 428325/2018-1) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (001).

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Correspondence to Leandro Chaves Rêgo.

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Rêgo, L.C., de Oliveira, F.E.G. Higher-order Sequential Stabilities in the Graph Model for Conflict Resolution for Bilateral Conflicts. Group Decis Negot 29, 601–626 (2020). https://doi.org/10.1007/s10726-020-09668-0

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