. -- Bounded rationality ; social learning ; population game ; differential game ; product life cycle ; monopoly ; competition …

economic laboratory experiment. The underlying theoretical framework relies on the modeling concepts from game theory and …

This paper describes the results of simulation experiments performed on a suite of learning algorithms. We focus on … extremely asynchronous; players update their strategies at very different rates. There are many proposed learning algorithms in … information, asynchronous play, and the degree of responsiveness of the learning algorithm. …

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 … an experiment designed to test whether players learn a) the relevant features of the payoff structure of a 2x2 game (e …

both firms employ the identical price-setting algorithm based on Q-learning. Thus, the question arises whether the … underlying assumption that both firms employ a Q-learning algorithm can be supported as an equilibrium in a game where firms can … chose between different pricing rules. Our simulations show that when both firms use a learning algorithm, the outcome is …

beliefs regarding the feasibility of the project decline. This learning requires the principal to provide rents to prevent the … inefficiently early and gives identical agents asymmetric experimentation assignments. The principal prefers to reward agents with …

How can naivete about present bias persist despite experience? To answer this question, our experiment investigates … the nature of the task at the second date further shows that learning is unencumbered by a change in environment. Our … in experimentation and a failure to activate self-regulation mechanisms. …