The Graph Model for Conflict Resolution: Past, Present, and Future
- 695 Downloads
The Graph Model for Conflict Resolution is a methodology for the modeling and analysis of strategic conflicts. An historical overview of the graph model is presented, including the basic modeling and analysis components of the methodology, the decision support system GMCR II that is now used to apply it, and the recent initiatives that are currently in various stages of development. The capacity of this simple, flexible system to provide advice to decision-makers facing strategic conflicts is emphasized throughout, and illustrated using a real-life groundwater contamination dispute.
Key wordsGraph Model for Conflict Resolution GMCR II strategic conflict stability equilibrium coalition analysis status quo analysis
Unable to display preview. Download preview PDF.
- Brams, S. J. (1994). Theory of Moves, Cambridge, UK: Cambridge University Press.Google Scholar
- Fang, L., K. W. Hipel, and D. M. Kilgour. (1993). Interactive Decision Making: The Graph Model for Conflict Resolution. New York: Wiley.Google Scholar
- Fraser, N. M. and K. W. Hipel. (1984). Conflict Analysis: Models and Resolutions. New York: North Holland.Google Scholar
- Hipel, K.W. (2002). “Conflict Resolution,” Theme Overview Paper, in Conflict Resolution, Encyclopedia of Life Support Systems (EOLSS), Oxford, UK: EOLSS Publishers, http://www.eolss.net.
- Hipel, K. W., Fraser, N. M., and Cooper, A. F. (1990). “Conflict Analysis of the Trade in Services Dispute,” Information and Decision Technologies 16(4), 347–360.Google Scholar
- Howard, N. (1971). Paradoxes of Rationality: Theory of Metagames and Political Behaviour. Cambridge, MA: MIT Press.Google Scholar
- Howard, N. (1999). Confrontation Analysis: How to Win Operations Other Than War. Pentagon, Washington, DC: CCRP Publications.Google Scholar
- Kandel, A., Y. Zhang, P. S. S. Borges. (1998). “Fuzzy Prisoner's Dilemma,” Fuzzy Econ. Rev. 3(1), 3–20.Google Scholar
- Kilgour, D. M., K. W. Hipel, L. Fang, and X. Peng. (1998). “Applying the Decision Support System GMCR II to Peace Operations,” in Analysis for and of the Resolution of Conflict (A. E. R. Woodcock and D. F. Davis, eds.) Cornwallis Park, NS: Canadian Peacekeeping Press, pp. 29–47.Google Scholar
- Li, K. W., K. W. Hipel, D. M. Kilgour, and D. J. Noakes. (2006). “Integrating Uncertain Preferences into Status Quo Analysis with Application to an Environmental Conflict,” Group Decision and Negotiation (this issue).Google Scholar
- Noakes, D. J., L. Fang, K. W. Hipel, and D. M. Kilgour. (2006). “The Pacific Salmon Treaty: A Century of Debate and an Uncertain Future,” Group Decision and Negotiation (this issue).Google Scholar
- Obeidi, A., K. W. Hipel, and D. M. Kilgour. (2005). “Perception and Emotion in the Graph Model for Conflict Resolution,” Proceedings of the 2005 IEEE International Conference on Systems, Man and Cybernetics, Waikoloa, HI, October 2005.Google Scholar
- Obeidi, A., K. W. Hipel, and D. M. Kilgour. (2006). “The Role of Emotions in Envisioning Outcomes in Conflict Analysis,” Group Decision and Negotiation (this issue).Google Scholar
- Raiffa, H. (1982). The Art and Science of Negotiation. Cambridge, MA: Harvard University Press.Google Scholar
- Raiffa, H., J. Richardson, and D. Metcalfe. (2002). Negotiation Analysis: The Science and Art of Collaborative Decision Making. Cambridge, MA: Harvard University Press.Google Scholar
- von Neumann, J. and O. Morgenstern. (1944). Theory of Games and Economic Behavior. Princeton, NJ: Princeton University Press.Google Scholar