TY - JOUR
T1 - Measuring power in coalitional games with friends, enemies and allies
AU - Skibski, Oskar
AU - Suzuki, Takamasa
AU - Grabowski, Tomasz
AU - Sakurai, Yuko
AU - Michalak, Tomasz
AU - Yokoo, Makoto
N1 - Funding Information:
Oskar Skibski was supported by the Polish National Science Centre Grant No. 2018/31/B/ST6/03201 . Oskar Skibski and Tomasz Michalak were supported by the Polish National Science Centre Grant No. 2015/19/D/ST6/03113 . Tomasz Michalak was also supported by the European Research Council under Advanced Grant 291528 (“RACE”) and the Polish National Science Centre Grant No. 2013/09/D/ST6/03920 . Makoto Yokoo was supported by JSPS KAKENHI Grant Number JP20H00609 and JP21H04979 . Yuko Sakurai was supported by JSPS KAKENHI Grant Number JP24220003 , JP17H00761 , JP18H03299 , JP21K19833 , and JST SICORP JPMJSC1607 .
Publisher Copyright:
© 2022 The Authors
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
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U2 - 10.1016/j.artint.2022.103792
DO - 10.1016/j.artint.2022.103792
M3 - Article
AN - SCOPUS:85139349048
SN - 0004-3702
VL - 313
JO - Artificial Intelligence
JF - Artificial Intelligence
M1 - 103792
ER -