Autonomous Agent Models of Stock Markets
作者： Hakman A. Wan , Andrew Hunter , Peter Dunne
关键词: Stock (geology) 、 Efficient-market hypothesis 、 Microeconomics 、 Economics 、 Chaos theory 、 Autonomous agent
摘要: The use of artificial agents in the study stock markets has aroused much interest past two decades. Models consisting were built to reinforce or question theories economics – including principle ``negative feedback'', Efficient Market Hypothesis, and chaos theory. In this article, we review development these agent models, highlight key design issues problems, suggest some directions for future research.
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