Various studies of asset markets have shown that traders are capable of learning and transmitting information through prices in many situations. In this paper we replace human traders with intelligent software agents in a series of simulated markets. Using these simple learning agents, we are...

Recent research has shown the importance of time horizons in models of learning in finance. The dynamics of how agents adjust to believe that the world around them is stationary may be just as crucial in the convergence to a rational-expectations equilibrium as getting parameters and model...

This study reports on market power experiments for an agent-based computational model of a labor market. Workers and employers repeatedly choose and refuse worksite partners on the basis of continually updated expected returns, engage in worksite interactions modelled as two-person games, and...