Abstract
In this work we present the experience of an electronic tournament between trading agents developed at the Technical University of Catalonia (UPC) as a course work for an artificial intelligence applications course. Using the Fishmarket platform as implementation basis, fourteen different agents were developed and confronted in a set of Downward Bidding Protocol (DBP) auctions in order to measure the performance of their strategies. We present the different groups of strategies of the agents, their architectures and their relationship to the success of the agents.
The Fishmarket is a software platform developed at the Institut d'Investigació en Intel.ligència Artificial, (IIIA-CSIC).
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Béjar, J., Cortés, U. (2001). Agent Strategies on DPB Auction Tournaments. In: Dignum, F., Cortés, U. (eds) Agent-Mediated Electronic Commerce III. AMEC 2000. Lecture Notes in Computer Science(), vol 2003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44723-7_11
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DOI: https://doi.org/10.1007/3-540-44723-7_11
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