Consensus building based on linear solvable process in transferable utility game

Author(s):  
Koji Okuhara ◽  
Junko Shibata ◽  
Eri Domoto ◽  
Nobuyuki Ueno
2000 ◽  
Vol 02 (04) ◽  
pp. 249-257 ◽  
Author(s):  
JEAN DERKS ◽  
STEF TIJS

Given a transferable utility game, where the players merge into subgroups described by a partition, we address the following question: under which conditions on the characteristic function and partition, merging is beneficial if the Shapley value is applied. Our results can be positioned among the search for well-defined classes of games where merging of players is possible without utility loss in case the Shapley value is chosen as the outcome of the game, and we will report on two of these classes of games arising from telecommunication problems.


2004 ◽  
Vol 06 (02) ◽  
pp. 223-238 ◽  
Author(s):  
JAVIER ARIN ◽  
JEROEN KUIPERS ◽  
DRIES VERMEULEN

In this paper we study the geometrical properties of the set of Lorenz allocations of a transferable utility game. We provide procedures to compute a single Lorenz allocation, and even the entire set of Lorenz allocations, that rely solely on linear optimization techniques. These procedures only require a finite number of elementary operations and are therefore easy to implement.


Games ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 23
Author(s):  
Sarina Steinmann ◽  
Ralph Winkler

We consider the problem of efficient emission abatement in a multi polluter setting, where agents are located along a river in which net emissions accumulate and induce negative externalities to downstream riparians. Assuming a cooperative transferable utility game, we seek welfare distributions that satisfy all agents’ participation constraints and, in addition, a fairness constraint implying that no coalition of agents should be better off than it were if all non-members of the coalition would not pollute the river at all. We show that the downstream incremental distribution, as introduced by Ambec and Sprumont (2002), is the only welfare distribution satisfying both constraints. In addition, we show that this result holds true for numerous extensions of our model.


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