We study from a complexity theoretic standpoint the various solution concepts arising in cooperative game theory. We use as a vehicle for this study a game in which the players are nodes of a graph with weights on the edges, and the value of a coalition is determined by the total weight of the edges contained in it. The Shapley value is always easy to compute. The core is easy to characterize when the game is convex, and is intractable (NP-complete) otherwise. Similar results are shown for the kernel, the nucleolus, the e-core, and the bargaining set. As for the von Neumann-Morgenstern solution, we point out that its existence may not even be decidable. Many of these results generalize to the case in which the game is presented by a hypergraph with edges of size k > 2.
[1]
Kenneth Steiglitz,et al.
Combinatorial Optimization: Algorithms and Complexity
,
1981
.
[2]
T. Crilly,et al.
The Theory of Games
,
1989,
The Mathematical Gazette.
[3]
L. Shapley,et al.
The kernel and bargaining set for convex games
,
1971
.
[4]
W. Lucas.
THE PROOF THAT A GAME MAY NOT HAVE A SOLUTION
,
1969
.
[5]
Philip M. Morse,et al.
Introduction to the Theory of Games
,
1952
.
[6]
Martin Shubik,et al.
Game theory models and methods in political economy
,
1977
.
[7]
E. Kalai,et al.
Finite Rationality and Interpersonal Complexity in Repeated Games
,
1988
.
[8]
Carl A. Futia.
The complexity of economic decision rules
,
1977
.