the nature of the task at the second date further shows that learning is unencumbered by a change in environment. Our … participants initially underestimate the information that their experience will provide - a bias that may lead to underinvestment …

The literature on learning in unknown environments emphasises reinforcing on actions which produce positive results … and theoretically in a very simple framework, how individuals initially learn by exploiting information from the pay …

Recently there has been much theoretical and experimental work on learning in games. However, learning usually means … learning about the strategic behavior of opponents rather than learning about the game as such. In contrast, here we report on …

We address the problem of learning and implementation on the Internet. When agents play repeated games in distributed … environments like the Internet, they have very limited {\em a priori} information about the other players and the payoff matrix … the essential properties that constitute ``reasonable'' learning behavior in distributed environments. We then study the …

asymmetric information, imperfect competition, strategic interaction, collective learning, and the possibility of multiple …; the essential primacy of survival; strategic rivalry and market power; behavioral uncertainty and learning; the role of …

evolving information about agents' common state of the world. Subjects' behavior is consistent with free-riding because of …

twelve 2 × 2 mixed strategy equilibria experiments. Case-based learning allows agents to explicitly incorporate information …We propose a framework in order to econometrically estimate case-based learning and apply it to empirical data from …-based learning to other learning models (reinforcement learning and self-tuned experience weighted attraction learning) while using …