A strategy experiment in an artificial futures market and teaching computational economics

Abstract

This paper presents the computational results obtained in the strategy experiments in an artificial futures market with human subjects. Participants submit their own strategy files and they receive the performances of all the market participants in order to improve for the next round. After two-round experiments, simulations with only machine agents are run. We find that a proper educational program and experiments of subjects could result in dynamics observed in real markets.