2021 IJCAI IJCAI 2021

Distance Polymatrix Coordination Games

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 Keywords:Agent-based and Multi-agent Systems: Algorithmic Game Theory Agent-based and Multi-agent Systems: Computational Social Choice Agent-based and Multi-agent Systems: Noncooperative Games

🧭 Keyword Pioneer — polymatrix coordination game
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Data Science & Analytics, Deep Learning, Interdisciplinary, Machine Learning, Mathematics & Optimization, Reinforcement Learning