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Pay or Play
Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence, PMLR R11:589-598, 2013.
Abstract
We introduce the class of pay or play games, which captures scenarios in which each deci- sion maker is faced with a choice between two actions: one with a fixed payoffand another with a payoffdependent on others’ selected actions. This is, arguably, the simplest set- ting 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 perspec- tive 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 environ- ments, e.g., vaccination games. We discuss the interesting implications of our results for these environments.