Psychologists have long recognized two kinds of learning: one that is relatively shallow and domain-specific; and … another that is deeper, producing generalizable insights that transfer across domains. The game theory literature has only … recently considered this distinction, and the conditions that stimulate the latter kind of “meaningful” learning in games are …

understand better how subjects with different cognitive abilities learn differently, we estimate a structural model of learning … ability to that of character skills, and find that both cognition and personality affect behavior and learning. More agreeable …

While payoff-based learning models are almost exclusively devised for finite action games, where players can test every … action, it is harder to design such learning processes for continuous games. We construct a stochastic learning rule …

A learning rule is uncoupled if a player does not condition his strategy on the opponent's payoffs. It is radically …, radically uncoupled learning rules whose period-by-period behavior comes arbitrarily close to Nash equilibrium behavior in any …

We study learning in finitely repeated 2x2 normal form games, when players have incomplete information about their … results show that the success in learning the opponent's type depends on the characteristics of the true game. The learning … equilibrium and we observe no correlation between equilibrium play and learning about the game …

learning transfers to new games. Current theories of learning model learning as adjustment in behavior in response to feedback … about outcomes and payoffs and largely ignore the possibility that learning may take place in the absence of such feedback … feedback between plays of the game. However, this previous work demonstrates this "no-feedback" learning using a special game …