majority games
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Games ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 5
Author(s):  
Maria Montero ◽  
Alex Possajennikov

This paper presents a simple adaptive model of demand adjustment in cooperative games and analyzes this model in weighted majority games. In the model, a randomly chosen player sets her demand to the highest possible value subject to the demands of other coalition members being satisfied. This basic process converges to the aspiration set. By introducing some perturbations into the process, we show that the set of separating aspirations, i.e., demand vectors in which no player is indispensable in order for other players to achieve their demands, is the one most resistant to mutations. We then apply the process to weighted majority games. We show that in symmetric majority games and in apex games, the unique separating aspiration is the unique stochastically stable one.


Author(s):  
René van den Brink ◽  
Dinko Dimitrov ◽  
Agnieszka Rusinowska

Abstract We consider plurality voting games being simple games in partition function form such that in every partition there is at least one winning coalition. Such a game is said to be weighted if it is possible to assign weights to the players in such a way that a winning coalition in a partition is always one for which the sum of the weights of its members is maximal over all coalitions in the partition. A plurality game is called decisive if in every partition there is exactly one winning coalition. We show that in general, plurality games need not be weighted, even not when they are decisive. After that, we prove that (i) decisive plurality games with at most four players, (ii) majority games with an arbitrary number of players, and (iii) decisive plurality games that exhibit some kind of symmetry, are weighted. Complete characterizations of the winning coalitions in the corresponding partitions are provided as well.


Author(s):  
Vito Fragnelli ◽  
Gianfranco Gambarelli ◽  
Nicola Gnocchi ◽  
Flavio Pressacco ◽  
Laura Ziani

2014 ◽  
Vol 123 (2) ◽  
pp. 139-143 ◽  
Author(s):  
Sascha Kurz ◽  
Stefan Napel ◽  
Andreas Nohn

Author(s):  
Sascha Kurz ◽  
Stefan Napel ◽  
Andreas Nohn

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