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dc.contributor.authorChan, Nicholasen_US
dc.contributor.authorLeBaron, Blakeen_US
dc.contributor.authorLo, Andrewen_US
dc.contributor.authorPoggio, Tomasoen_US
dc.date.accessioned2004-10-20T20:48:45Z
dc.date.available2004-10-20T20:48:45Z
dc.date.issued1998-09-01en_US
dc.identifier.otherAIM-1646en_US
dc.identifier.otherCBCL-164en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/7174
dc.description.abstractVarious 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.en_US
dc.format.extent30 p.en_US
dc.format.extent6592261 bytes
dc.format.extent5584146 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAIM-1646en_US
dc.relation.ispartofseriesCBCL-164en_US
dc.subjectAIen_US
dc.subjectMITen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectartificial tradersen_US
dc.subjectartificial marketsen_US
dc.subjectrational expectations modelen_US
dc.subjectexperimental economicsen_US
dc.titleInformation Dissemination and Aggregation in Asset Markets with Simple Intelligent Tradersen_US


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