ALIFE Proceedings of the sixth international conference on Artificial life
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Microscopic Simulation of Financial Markets: From Investor Behavior to Market Phenomena
Microscopic Simulation of Financial Markets: From Investor Behavior to Market Phenomena
Information Sciences: an International Journal
An heterogeneous, endogenous and coevolutionary GP-based financial market
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
Analysis of learning types in an artificial market
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
On the role of risk preference in survivability
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
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An artificial market model for analyzing economic phenomena has been developed based on the results of a field study. In the construction of the model, the forms of the virtual dealers' utility function and learning methods were derived from field data. The results of simulating the artificial market were compared with the field data. First, the temporal movements of agents' forecasts in the simulation were compared with those of actual dealers as given by survey data. Next, the factors that the virtual dealers regarded as significant in forecasting were categorized. The categories were compared to those of actual dealers and found to be similar. Finally, the temporal changes in virtual dealers' opinions were compared with data obtained through interviews with actual dealers. The proposed model was found to enable repeated and detailed analysis of dealer thinking under various conditions in real time.