We present the results of an experiment on learning in a continuous-time low-information setting. For a dominance solvable version of a Cournot oligopoly with differentiated products, we find little evidence of convergence to the Nash equilibrium. In an asynchronous setting, characterized by...

Consider a two-player discounted infinitely repeated game. A player's belief is a probability distribution over the opponent's repeated game strategies. This paper shows that, for a large class of repeated games, there are no beliefs that satisfy three conditions, learnability, consistency, and...

Global games of regime change - coordination games of incomplete information in which a status quo is abandoned once a sufficiently large fraction of agents attacks it - have been used to study crises phenomena such as currency attacks, bank runs, debt crises, and political change. We extend the...

We consider an oligopolistic market game, in which the players are competing firm in the same market of a homogeneous consumption good. The consumer side is represented by a fixed demand function. The firms decide how much to produce of a perishable consumption good, and they decide upon a...

This paper describes a parametric approach to weakening rationality assumptions in game theory to fit empirical data better. The central features of game theory are: The concept of a game (players, strategies, information, timing, outcomes); strategic thinking; mutual consistency of beliefs and...

In the paper we develop the concept of social evolution and aspiration learning in duopolistic industries. Social learning is analysed in the framework of the model in which aspirations are linked to the normal profit of the economy. The general algorithm of social evolution and learning for...

We consider an environment where players are involved in a public goods game and must decide repeatedly whether to make an individual contribution or not. However, players lack strategically relevant information about the game and about the other players in the population. The resulting behavior...

Various approaches used in Agent-based Computational Economics (ACE) to model endogenously determined interactions between agents are discussed. This concerns models in which agents not only (learn how to) play some (market or other) game, but also (learn to) decide with whom to do that (or not).

This chapter reviews recent experimental data testing game theory and behavioral models that have been inspired to explain those data. The models fall into four groups: in cognitive hierarchy or level- k models, the assumption of equilibrium is relaxed by assuming agents have beliefs about other...

The purpose of this paper identifies learning in games in the experimental economic settings, and applies their results on real multilateral trade negotiations. This paper argues that structure of games including a veto player (Veto games) are similar to real multilateral trade negotiations in...