The Stock Market as a Game: An Agent Based Approach to Trading in Stocks
Humboldt University of Berlin - Faculty of Law
September, 18 2008
An agent based game theoretical approach to using artificial intelligence to model the stock market. The paper argues stock market can be meaningfully modeled from a game theoretical perspective using an agent based methodology of artificial intelligence.
Number of Pages in PDF File: 18
Keywords: agent, game theory, artificial intelligence, AI, stock market.
JEL Classification: C7, C8, D8working papers series
Date posted: September 22, 2008
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