Andrew Lo () (Massachusetts Institute of Technology) Nicholas Chan () (Massachusetts Institute of Technology) Blake LeBaron () (Brandeis University) Tomaso Poggio () (Massachusetts Institute of Technology)
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Various studies of asset markets have shown that traders are capable of learning and transmitting information through prices in many situations. In this paper we replace human traders with intelligent software agents in a series of simulated markets. Using these simple learning agents, we are able to replicate several features of the experiments with human subjects, specifically regarding (1) dissemination of information from informed to uninformed traders and (2) aggregation of information spread over different traders.
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