Dynamic models of learning and adaptation have provided realistic predictions in terms of voting behavior. This study … aims at contributing to their scant empirical verification. We develop a learning algorithm based on bounded rationality … estimating the pattern of learning process through a two-stage econometric model. The analysis links voting behavior to past …

realistic assumption of boundedly rational learning where agents are assumed to use only a limited set of information to form …

This paper studies the learning process carried out by two agents who are involved in many games. As distinguishing all …. Partitions of higher cardinality are more costly. A process of simultaneous learning of actions and partitions is presented and … equilibrium partitions and action choices characterized. Learning across games can destabilize strict Nash equilibria even for …

rationality behaviour by people. Quite recent developments in the Economics of Knowledge, i.e. the so-called learning models, have …

In this paper we study a stochastic learning model for 2, 2 normal form games that are played repeatedly. The main … receives. We prove that the learning algorithm, which is modeled by an urn scheme proposed by Arthur (1993), leads with … equilibria, the learning process converges a.s. to the set of Nash equilibria. …