TY - GEN
T1 - Pay or play
AU - Oren, Sigal
AU - Schapira, Michael
AU - Tennenholtz, Moshe
PY - 2013
Y1 - 2013
N2 - We introduce the class of pay or play games, which captures scenarios in which each decision maker is faced with a choice between two actions: one with a fixed payoff and another with a payoff dependent on others' selected actions. This is, arguably, the simplest setting that models selection among certain and uncertain outcomes in a multi-agent system. We study the properties of equilibria in such games from both a game-theoretic perspective and a computational perspective. Our main positive result establishes the existence of a semi-strong equilibrium in every such game. We show that although simple, pay or play games contain well-studied environments, e.g., vaccination games. We discuss the interesting implications of our results for these environments.
AB - We introduce the class of pay or play games, which captures scenarios in which each decision maker is faced with a choice between two actions: one with a fixed payoff and another with a payoff dependent on others' selected actions. This is, arguably, the simplest setting that models selection among certain and uncertain outcomes in a multi-agent system. We study the properties of equilibria in such games from both a game-theoretic perspective and a computational perspective. Our main positive result establishes the existence of a semi-strong equilibrium in every such game. We show that although simple, pay or play games contain well-studied environments, e.g., vaccination games. We discuss the interesting implications of our results for these environments.
UR - https://www.scopus.com/pages/publications/84888165342
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AN - SCOPUS:84888165342
T3 - Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, UAI 2013
SP - 488
EP - 497
BT - Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, UAI 2013
PB - AUAI Press
T2 - 29th Conference on Uncertainty in Artificial Intelligence, UAI 2013
Y2 - 11 July 2013 through 15 July 2013
ER -