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Negotiation and Equilibria in User Competition for Resources: A Dynamic Plot Approach

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Abstract

We consider a scenario where two users are competing for substitutable facilities and where the costs to a user for using a facility depend on its usage as well as the usage by the other user. This results in a nonlinear dynamic game the “solution” of which implies an allocation that satisfies both users. Games with four different types of solution spaces are presented where the equilibria and the process to reach a negotiated compromise solution have different characterizations. Nash equilibria and nondominated points are discussed in this context and an interactive graphical dynamic plot approach is presented for obtaining negotiated solutions in such nonlinear dynamic games.

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References

  • Barros, O. and A. Weintraub (1986), “Spatial Market Equilibrium Problems as Network Models,” Discrete Applied Mathematics, 13, 109–130.

    Google Scholar 

  • Beroggi, G.E.G. (2000, forthcoming), “Dynamic Plots in Virtual Negotiations,” Computational and Mathematical Organization Theory, 6(2).

  • Brewer, P.J. and R.P. Plott (1994), “A Binary Conflict Ascending Price Mechanism for Decentralized Allocation of the Right to Use Railroad Tracks,” Working Paper, Division of Humanities and Social Sciences, California Institute of Technology.

  • Dubey, P. (1986), “Inefficiency of Nash Equilibria,” Mathematics of Operations Research, 11, 1–8.

    Google Scholar 

  • Economides, A.A. and J.A. Silvester (1991), “Multiobjective Routing in Integrated Services Networks: A Game Theory Approach,” Proceedings of INFOCOM 1991, 1220-1225.

  • Florian, M. (ed.) (1984), Transportation Planning Models. North-Holland, Amsterdam, The Netherlands.

    Google Scholar 

  • Korlis, Y.A. and A.A. Lazar (1995), “On the Existence of Equilibria in Noncooperative Optimal Flow Control,” Journal of ACM, 42, 584–613.

    Google Scholar 

  • Korlis, Y.A., A.A. Lazar and A. Orda (1997a), “Architecting Noncooperative Networks,” IEEE Journal on Selected Areas in Communications, 13, 1241–1251.

    Google Scholar 

  • Korlis, Y.A., T.A. Varvarigou and S.R. Ahuja (1997b), “Pricing Noncooperative Networks,” Working Paper, Bell Laboratories, Lucent Technologies, Holmdel, New Jersey.

    Google Scholar 

  • Luce R.D. and H. Raiffa (1985) (1957), Games and Decisions: Introduction and Critical Survey. Dover Publications, Inc., New York.

    Google Scholar 

  • McCabe, K.A., S.J. Rassenti and V.L. Smith (1990), “Experimental Research on Deregulating Natural Gas Pipeline and Electric Power Transmission Networks,” Working Paper, Center for Law and Economic Studies, Columbia University School of Law, New York.

    Google Scholar 

  • Nash, J.F. (1951), “Noncooperative Games,” Annals of Mathematics, 54, 286–295.

    Google Scholar 

  • Orda, A., R. Rom and N. Shimkin (1993), “Competitive Routing in Multiserver Communication Networks,” IEEE/ACM Transactions on Networking, 1, 510–521.

    Google Scholar 

  • Osborne, M.J. and A. Rubinstein (1994), A Course in Game Theory. Massachusetts Institute of Technology Press, Cambridge, Massachusetts.

    Google Scholar 

  • Rapoport A. and M. Guyer (1966), “A Taxonomy of 212 Games,” General Systems, 11, 203–214.

    Google Scholar 

  • Rassenti, S.J., V.L. Smith and R.L. Buffin (1982), “A Combinatorial Auction Mechanism for Airport Time Slot Allocation,” Bell Journal of Economics, 1982, 402–415.

    Google Scholar 

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Beroggi, G.E., Mirchandani, P.B. Negotiation and Equilibria in User Competition for Resources: A Dynamic Plot Approach. Computational & Mathematical Organization Theory 6, 61–82 (2000). https://doi.org/10.1023/A:1009625309880

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  • DOI: https://doi.org/10.1023/A:1009625309880

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