Abstract
Classical cooperative game theory is no longer a suitable tool for those situations where the values of coalitions are not known with certainty. We consider a dynamic context where at each point in time the coalitional values are unknown but bounded by a polyhedron. However, the average value of each coalition in the long run is known with certainty. We design “robust” allocation rules for this context, which are allocation rules that keep the coalition excess bounded while guaranteeing each player a certain average allocation (over time). We also present a joint replenishment application to motivate our model.
Similar content being viewed by others
References
Alparslan Gök SZ, Miquel S, Tijs S (2008a) Cooperation under interval uncertainty. CentER DP 2008-09, Tilburg University, MMOR (to appear)
Alparslan Gök SZ, Branzei R, Tijs S (2008b) Cores and stable sets for interval valued games. CentER DP 2008-17, Tilburg University
Alparslan Gök SZ, Branzei R, Tijs S (2008c) Conves interval games. CentER DP 2008-37, Tilburg University
Bauso D, Blanchini F, Pesenti R (2006) Robust control strategies for multi-inventory systems with average flow constraints. Autom Special Issue Optim Control Appl Manag Sci 42(8): 1255–1266
Bondareva ON (1963) Some applications of linear programming methods to the theory of cooperative games. Problemy Kibernet 10: 119–139
Cesa-Bianchi N, Lugosi G, Stoltz G (2006) Regret minimization under partial monitoring. Math Oper Res 31(3): 562–580
Cesco JC (1998) A convergent transfer scheme to the core of a TU-game. Revista de Matemáticas Aplicadas 19(1–2): 23–35
Filar JA, Petrosjan LA (2000) Dynamic cooperative games. Int Game Theory Rev 2(1): 47–65
Hartman BC, Dror M, Shaked M (2000) Cores of inventory centralization games. Games Econ Behav 31(1): 26–49
Haurie A (1975) On some properties of the characteristic function and the core of a multistage game of coalitions. IEEE Trans Autom Control 20(2): 238–241
Kranich L, Perea A, Peters H (2005) Core concepts in dynamic TU games. Int Game Theory Rev 7: 43–61
Lehrer E (2002) Allocation processes in cooperative games. Int J Game Theory 31: 341–351
Meca A, Garcia-Jurado I, Borm P (2003) Cooperation and competition in inventory games. Math Methods Oper Res 57(3): 481–493
Meca A, Timmer J, Garcia-Jurado I, Borm P (2004) Inventory games. Eur J Oper Res 156: 127–139
Schmeidler D (1969) The nucleolus of a characteristic function game. SIAM J Appl Math 17: 1163–1170
Sengupta A, Sengupta K (1996) A property of the core. Games Econ Behav 12: 266–273
Shapley LS (1953) A value for n-person games. Contributions to the Theory of Games II, pp 193–216
Shapley LS (1967) On balanced sets and cores. Naval Res Log Q 14: 453–460
Suijs J, Borm P (1999) Stochastic cooperative games: superadditivity, convexity, and certainty equivalents. Games Econ Behav 27(2): 331–345
Suijs J, Borm P, De Waegenaere A, Tijs S (1999) Cooperative games with stochastic payoffs. Eur J Oper Res 113: 193–205
Tijs S (2003) Introduction to game theory. Hindustan Book Agency
Timmer J, Borm P, Tijs S (2003) On three Shapley-like solutions for cooperative games with random payoffs. Int J Game Theory 32: 595–613
Timmer J, Borm P, Tijs S (2005) Convexity in stochastic cooperative situations. Int Game Theory Rev 7: 25–42
Author information
Authors and Affiliations
Corresponding author
Additional information
We thank two anonymous referees for their valuable comments.
Rights and permissions
About this article
Cite this article
Bauso, D., Timmer, J. Robust dynamic cooperative games. Int J Game Theory 38, 23–36 (2009). https://doi.org/10.1007/s00182-008-0138-1
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00182-008-0138-1