Elsevier

Artificial Intelligence

Volume 313, December 2022, 103792
Artificial Intelligence

Measuring power in coalitional games with friends, enemies and allies

https://doi.org/10.1016/j.artint.2022.103792Get rights and content
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Abstract

We extend the well-known model of graph-restricted games due to Myerson to signed graphs. In our model, it is possible to explicitly define not only that some players are friends (as in Myerson's model) but also that some other players are enemies. As such our games can express a wider range of situations, e.g., animosities between political parties. We define the value for signed graph games using the axiomatic approach that closely follows the celebrated characterization of the Myerson value. Furthermore, we propose an algorithm for computing an arbitrary semivalue, including the extension of the Myerson value proposed by us. We also develop a pseudo-polynomial algorithm for power indices in weighted voting games for signed graphs with bounded treewidth. Moreover, we consider signed graph games with a priori defined alliances (unions) between players and propose algorithms to compute the extension of the Owen value to this setting.

Keywords

Coalitional games
Restrictions
Myerson value
Signed graphs

Cited by (0)

This article is a joint, unified and extended version of two papers initially presented at IJCAI-15 [61] and AAMAS-20 [64]. Several new technical results have been obtained. Specifically, a pseudo-polynomial algorithm for power indices in graph games proposed in the former paper has been extended to signed graphs (Section 6). It has also been extended to work for an arbitrary semivalue and for the Owen value (Theorem 12). Also, the general algorithms for semivalues for signed graph games have been rewritten (Algorithm 1, Algorithm 5). Several proofs and pseudocodes missing from the conference versions have been added (e.g., Lemma 7, Algorithm 5). Finally, we added several new examples and illustrations.