Meir, ReshefParkes, David2015-07-082015Meir, Reshef and David C. Parkes. 2015. Congestion Games with Distance-Based Strict Uncertainty. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, Austin, TX.2159-53992374-3468http://nrs.harvard.edu/urn-3:HUL.InstRepos:17145150We put forward a new model of congestion games where agents have uncertainty over the routes used by other agents. We take a non-probabilistic approach, assuming that each agent knows that the number of agents using an edge is within a certain range. Given this uncertainty, we model agents who either minimize their worst-case cost (WCC) or their worst-case regret (WCR), and study implications on equilibrium existence, convergence through adaptive play, and efficiency. Under the WCC behavior the game reduces to a modified congestion game, and welfare improves when agents have moderate uncertainty. Under WCR behavior the game is not, in general, a congestion game, but we show convergence and efficiency bounds for a simple class of games.en-USConference Paper2015-06-29Reshef Meir and David C. Parkes2015-07-08