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.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/7174 |
| Date | 01 September 1998 |
| Creators | Chan, Nicholas, LeBaron, Blake, Lo, Andrew, Poggio, Tomaso |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Format | 30 p., 6592261 bytes, 5584146 bytes, application/postscript, application/pdf |
| Relation | AIM-1646, CBCL-164 |
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