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<https://discovery.ucl.ac.uk/id/eprint/14516> <http://purl.org/ontology/bibo/abstract> "We propose a new concept for the analysis of games, the TASP, which gives\r\na precise prediction about non-equilibrium play in games whose Nash equilibria\r\nare mixed and are unstable under fictitious play-like learning processes. We\r\nshow that, when players learn using weighted stochastic fictitious play and so\r\nplace greater weight on more recent experience, the time average of play often\r\nconverges in these “unstable” games, even while mixed strategies and beliefs continue\r\nto cycle. This time average, the TASP, is related to the best response\r\ncycle first identified by Shapley (1964). Though conceptually distinct from Nash\r\nequilibrium, for many games the TASP is close enough to Nash to create the appearance\r\nof convergence to equilibrium. We discuss how these theoretical results\r\nmay help to explain data from recent experimental studies of price dispersion."^^<http://www.w3.org/2001/XMLSchema#string> .
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