Fudenberg, DrewLevine, David K.2014-12-082014Fudenberg, Drew, and David K. Levine. 2014. "Recency, Consistent Learning, and Nash Equilibrium." Proceedings of the National Academy of Sciences, 111 (3): 10826-10829.1091-6490http://nrs.harvard.edu/urn-3:HUL.InstRepos:13477947We examine the long-term implication of two models of learning with recency bias: recursive weights and limited memory. We show that both models generate similar beliefs and that both have a weighted universal consistency property. Using the limited-memory model we produce learning procedures that both are weighted universally consistent and converge with probability one to strict Nash equilibrium.en-USEvolutionLearningRecencyFictitious PlayGame TheoryUniversal ConsistencyJournal Article2014-10-092015-02-0210.1073/pnas.1400987111