This paper studies the analytical properties of the reinforcement learning model proposed in Erev and Roth (1998), also termed cumulative reinforcement learning in Laslier et al (2001). This stochastic model of learning in games accounts for two main elements: the law of effect (positive...

A choice prediction competition is organized that focuses on decisions from experience in market entry games (http://sites.google.com/site/gpredcomp/ and http://www.mdpi.com/si/games/predict-behavior/). The competition is based on two experiments: An estimation experiment, and a competition...

In this paper, a reinforcement learning version of the connections game first analysed by Jackson and Wolinsky is presented and compared with benchmark results of fully informed and rational players. Using an agent-based simulation approach, the main nding is that the pattern of reinforcement...

A distributed decision support system for tactical air traffic flow management is developed for the First Integrated Center of Air Defense and Air Traffic Control (CINDACTA I) in Brasilia. The paper specifies the role of CINDACTA I, looking at the problems of air traffic flow management in...

Carbon constrained electricity markets are a reality in 10 northeastern states and California in the US, as well as the European Union. Close to a Billion US Dollars have been spent by entities (mainly generators) in the Regional Greenhouse Gas Initiative in procuring CO2 allowances to meet...

We study an evolutionary model of a public good game with rewards played on a network. Giving rewards to contributors transforms the game but gives rise to a second-order dilemma. By allowing for coevolution of strategies and network structure, the evolutionary dynamics operate on both structure...

The paper presents an evolutionary model, based on the assumption that agents may revise their current strategies if they previously failed to attain the maximum level of potential payoffs. We offer three versions of this reflexive mechanism, each one of which describes a distinct type:...

This paper presents results on the stability of the wage dispersion model presented in Mortensen (2003). Specifically, we test four 'positive definite' learning processes on a single parameterisation of the underlying model, and submit the most successful to a thorough sensitivity analysis. The...

Due to the importance of drayage operations, operators at marine container terminals are increasingly looking to reduce the time a truck spends at the terminal to complete a transaction. This study introduces an agent-based approach to model yard cranes for the analysis of truck turn time. The...