Minimum-cost spanning tree game explained

A minimum-cost spanning-tree game (MCST game) is a kind of a cooperative game. In an MCST game, each player is a node in a complete graph. The graph contains an additional node - the supply node - denoted by s. The goal of the players is that all of them will be connected by a path to s. To this end, they need to construct a spanning tree. Each edge in the graph has a cost, and the players build the minimum cost spanning tree. The question then arises, how to allocate the cost of this MCST among the players?

The solution offered by cooperative game theory is to consider the cost of each potential coalition - each subset of the players. The cost of each coalition S is the minimum cost of a spanning tree connecting only the nodes in S to the supply node s. The value of S is minus the cost of S. Using these definitions, various solution concepts from cooperative game theory can be applied. MCST games were introduced by Bird in 1976.[1]

Properties

Computation

Spanning forest games

A minimum-cost spanning-forest game (MCSF game) is a generalization of an MCST game, in which multiple supply-nodes are allowed. In general, the core of an MCSF game may be empty. However, if the underlying network is a tree, the core is always non-empty, and core points can be computed in strongly-polynomial time.[9]

Notes and References

  1. Bird . C. G. . 1976 . On cost allocation for a spanning tree: A game theoretic approach . Networks . en . 6 . 4 . 335–350 . 10.1002/net.3230060404. subscription .
  2. Granot . Daniel . Huberman . Gur . 1981-12-01 . Minimum cost spanning tree games . Mathematical Programming . en . 21 . 1 . 1–18 . 10.1007/BF01584227 . 26198019 . 1436-4646. subscription .
  3. Granot . Daniel . Huberman . Gur . 1984-07-01 . On the core and nucleolus of minimum cost spanning tree games . Mathematical Programming . en . 29 . 3 . 323–347 . 10.1007/BF02592000 . 12124235 . 1436-4646.
  4. Granot . D. . Maschler . M. . Owen . G. . Zhu . W. R. . 1996-06-01 . The kernel/nucleolus of a standard tree game . International Journal of Game Theory . en . 25 . 2 . 219–244 . 10.1007/BF01247104 . 120669939 . 1432-1270.
  5. Faigle . Ulrich . Kern . Walter . Kuipers . Jeroen . 1998-12-01 . Computing the nucleolus of min-cost spanning tree games is NP-hard . International Journal of Game Theory . 27 . 3 . 443–450 . 10.1007/s001820050083 . 46730554 . 0020-7276.
  6. Kuipers . Jeroen . Solymosi . Tamás . Aarts . Harry . 2000-09-01 . Computing the nucleolus of some combinatorially-structured games . Mathematical Programming . en . 88 . 3 . 541–563 . 10.1007/PL00011385 . 13149058 . 1436-4646.
  7. Megiddo . Nimrod . Nimrod Megiddo. August 1978. Computational Complexity of the Game Theory Approach to Cost Allocation for a Tree. Mathematics of Operations Research. en. 3. 3. 189–196. 10.1287/moor.3.3.189. 0364-765X.
  8. Galil . Zvi . 1980-01-01 . Applications of efficient mergeable heaps for optimization problems on trees . Acta Informatica . 13 . 1 . 53–58 . 10.1007/BF00288535 . 39221796 . 0001-5903.
  9. Granot . Daniel . Granot . Frieda. Frieda Granot . 1992 . Computational Complexity of a Cost Allocation Approach to a Fixed Cost Spanning Forest Problem . Mathematics of Operations Research . 17 . 4 . 765–780 . 10.1287/moor.17.4.765 . 3690069 . 0364-765X.