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  Information Dissemination and Aggregation in Asset Markets with Simple Intelligent Traders (1998) [5 citations — 1 self]

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by Nicholas Chan, Blake Lebaron, Andrew Lo, Tomaso Poggio
MIT Arti cial Intelligence Laboratory Technical Memorandum
ftp://publications.ai.mit.edu/ai-publications/1500-1999/AIM-1646.ps
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Abstract:

This publication can be retrieved by anonymous ftp to publications.ai.mit.edu. The pathname for this publication is: ai-publications/1500-1999/AIM-1646.ps 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, regarding (1) dissemination of information from informed to uninformed traders, and (2) aggregation of information spread over different traders.

Citations

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1 forthcoming 1998), `Ragent based computational finance: Suggested readings and early research – LeBaron