A Multiagent Model of a Foreign Exchange Market
نویسندگان
چکیده
In this study a multiagent model of a foreign exchange market based on Genetic Algorithms (GAs) is proposed by regarding the market as a multiagent system. An interview with a dealer was carried out and it was found that features of the agents' interaction in learning are similar to those of the GA operations. By using the simulation results of our model, three emergent properties of the market was identi ed: the rate bubble and the two phenomena in the interview. The results show that the bubble is caused by the interaction between the agents' forecasts. It was also found that the two phenomena are caused by the demand-supply balance. Copyright c 1998 IFAC
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تاریخ انتشار 2007