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 …

ability. We study experimentally to what extent cross-game learning can reduce overbidding in SPAs, taking into account …-game learning for cognitively less able participants but does not affect overbidding for the cognitively more able. Vice versa …, 'cross-game learning' may rather be understood as 'cross-game transfer', as it has the potential to benefit bidders with …

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 …

We study the statistical properties of three estimation methods for a model of learning that is often fitted to …

and such learning behaviour induces more competitive outcomes in the Cournot market designs. By the same token, when …

payoff-based learning models are simulated in order to understand individual learning behavior in distributed systems. Under … the serial mechanism the payoff-assessment learning model (Sarin and Vahid (1997)) provides the best fit to the data …, followed by the experience-weighted attraction learning model (Camerer and Ho (1999)), which in turn, is followed by a simple …

While many learning models have been proposed in the game theoretic literature to track individuals’ behavior … learning models in light of a laboratory experiment on responsiveness in a lowinformation dynamic game subject to changes in … its underlying structure. While history-dependent reinforcement learning models track convergence of play well in repeated …

other, and can delay their decision. Subject acted rationally, gaining from observational learning, despite penalties for …