This article aims to test the relevance of learning through Genetic Algorithms (GA) and Learning Classifier Systems (LCS), in opposition with fixed R&D rules, in a simplified version of the evolutionary industry model of Nelson and Winter. These three R&D strategies are compared from the points...

This paper is a two-part survey of the literature on social learning in a network, with the first section on social learning and the second on network structures and formation. In the first part of this paper, we observe that, without intervention, social learning in a homogeneous population is...

The interaction of insurance and the market for physician services is considered in a model where imperfectly informed consumers rely on doctors for advice on the utilization of services and there is monopolistic competition among physicians on the basis of price and the quality of their advice....

In this paper, we consider a dynamic New Keynesian model of the small open economy in the light of bounded rationality. This entails private agents and the central bank updating their beliefs about the laws of motion of inflation, the output gap and real exchange rate, when forming their optimal...

A decision maker, named Alice, wants to know if an expert has significant information about payoff-relevant probabilities of future events. The expert, named Bob, either knows this probability almost perfectly or knows nothing about it. Hence, both Alice and the uninformed expert face...

A common value auction experiment is run to compare the relative influence of observation and experience on learning. It is shown that the ex-post observation of opponents' actions and payoffs homogenizes behavior and accelerates learning toward the Nash equilibrium. Besides, experiential and...

This paper considers the dynamic evolution of algorithmic (recursive) learning rules in a normal form game. It is shown that the system - the population frequencies - is globally stable for any arbitrary N-player normal form game, if the evolutionary process is algorithmic and the "birth...

This paper delovers the solution to an optimal search problem with learning where the searcher has distinguishable search opportunities. The optimal sampling strategy is characterized by simple reservation prices that determine which of the search alternatives to sample and when to stop search.

We examine a model of social learning in networks following the lines of Bala and Goyal (1998, 2001). As a model of agents’ behaviour we have chosen the model of informational cascades of Bikhchandani et al (1992). Similarly to Bala and Goyal we find that the higher the ’degree of...

The effectiveness of Variable Messages Signs (VMS) on route guidance is assessed by a discrete probit choice model that estimates the proportion of vehicles that diverts to an alternative routes given the characteristics of different messages. A before–and–after study is also conducted to...