2026-09-21T05:32:38Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/458072022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Thomas W. Malone.
Carver, Jason W
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2009-06-30T16:20:30Z
2009-06-30T16:20:30Z
2008
2008
http://hdl.handle.net/1721.1/45807
319169433
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
Includes bibliographical references.
A design and implementation of a Prediction Economy is presented and compared to alternative designs. A Prediction Economy is composed of prediction markets, market managers, information brokers and automated trading agents. Two important goals of a Prediction Economy are to improve liquidity and information dispersal. Market managers automatically open and close appropriate markets, quickly giving traders access to the latest claims. Information brokers deliver parsed data to the trading agents. The agents execute trades on markets that might not otherwise have much trading action. Some preliminary results from a running Prediction Economy are presented, with binary markets based on football plays during a college football game. The most accurate agent chose to enter 8 of 32 markets, and was able to predict 7 of the 8 football play attempts correctly. Source code for the newly implemented tools is available, as are references to the existing open source tools used.
by Jason W. Carver.
M.Eng.
35 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Architecture of a prediction economy
Thesis
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