We propose a new concept for the analysis of games, the TASP, which gives a precise prediction about non-equilibrium play in games whose Nash equilibria are mixed and are unstable under fictitious play-like learning. We show that, when players learn using weighted stochastic fictitious play and...

0. SummaryThe theory of repeated games is concerned with the analysis of behavior in long-term interactions as opposed to one-shot situations; in this framework new objects occur in the form of threats, cooperative plans, signals, etc. that are deeply related to "real life" phenomena like...