Conference Proceeding Article
In this paper, we propose to design a market game that (a) can be used in modeling and studying commodity trading scenarios, and (b) can be used in capturing human traders' behaviors. Specifically, we demonstrate the usefulness of this commodity trading game in a single-commodity futures trading scenario. A pilot experiment was run with a mixture of human traders and an autonomous agent that emulates the aggregatedmarket condition, with the assumption that this autonomous agent would hint each of its action through a public announcement. We show that the information collected from this simulation can be used to extract the pattern of successful human traders. Finally, we elaborate on the potential of this market game in studying autonomous commodity trading.
Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering
Intelligent Systems and Decision Analytics
IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007: IAT '07: 2-5 November 2007, Fremont, CA: Proceedings
IEEE Computer Society
City or Country
Los Alamitos, CA
Designing the Market Game for a Commodity Trading Simulation. (2007). IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007: IAT '07: 2-5 November 2007, Fremont, CA: Proceedings. 445-449. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/207
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