Psychologists have long recognized two kinds of learning: one that is relatively shallow and domain-specific; and … recently considered this distinction, and the conditions that stimulate the latter kind of “meaningful” learning in games are … still unclear. Three experiments demonstrate that meaningful learning – the acquisition of the principle of iterated …

We report on an experiment testing the empirical relevance of least squares (LS) learning, a common way of modelling … in the independent variable of the model. We consider several alternatives to least squares learning and find evidence …

strongly restricts the space of agent actions, facilitating the identification of decision rules. Evidence for learning … learn across periods. However, a majority exhibit little evidence of learning, and many are, in fact, simply content to …

learning might take place. The current paper extends this previous work. Using an experiment in which subjects play four games … without feedback, the experiment allows a stronger test of "no-feedback learning" as well as a better understanding of the … learning transfers to new games. Current theories of learning model learning as adjustment in behavior in response to feedback …

Learning in real life is based on different processes. Humans learn to a certain extent from their own experience but … assessment learning (GPAL) model which enables us to evaluate the relative influences of these two different models of learning …. We apply GPAL to a homogeneous good Bertrand duopoly experiment with random matching and population pricing information …

equilibrium of the game does not organize the individual data, two individual learning models are studied: one following a … predictive value of such learning models is found to be poor. …

We report an experiment on a decision task by SAMUELSON and BAZERMAN (1985). Subjects submit a bid for an item with an … unknown value. A winner s curse phenomenon arises when subjects bid too high and make losses. Learning direction theory can … quantitative predictions on the basis of learning direction theory. We also look at monotonic ladder processes. It is shown that …

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 … order shown by Selten and Chmura. This result supports our view that learning in networks is different from learning in …

This paper experimentally investigates the nature of impulses in impulse learning. Particularly, we analyze whether …