IJCAI 2021poster19 citations

Distance Polymatrix Coordination Games

Alessandro Aloisio, Michele Flammini, Bojana Kodric, Cosimo Vinci

Abstract

In polymatrix coordination games, each player x is a node of a graph and must select an action in her strategy set. Nodes are playing separate bimatrix games with their neighbors in the graph. Namely, the utility of x is given by the preference she has for her action plus, for each neighbor y, a payoff which strictly depends on the mutual actions played by x and y. We propose the new class of distance polymatrix coordination games, properly generalizing polymatrix coordination games, in which the overall utility of player x further depends on the payoffs arising by mutual actions of players v,z that are the endpoints of edges at any distance h

Agent-based and Multi-agent Systems: Algorithmic Game TheoryAgent-based and Multi-agent Systems: Computational Social ChoiceAgent-based and Multi-agent Systems: Noncooperative Games
BibTeX
@inproceedings{ijcai2021p1,
  title     = {Distance Polymatrix Coordination Games},
  author    = {Aloisio, Alessandro and Flammini, Michele and Kodric, Bojana and Vinci, Cosimo},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Zhi-Hua Zhou},
  pages     = {3--9},
  year      = {2021},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2021/1},
  url       = {https://doi.org/10.24963/ijcai.2021/1},
}
Distance Polymatrix Coordination Games · IJCAI 2021