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ADMI
2009
Springer

A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents

12 years 8 months ago
A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents
Abstract. In this work, we describe the process used in order to predict the bidding strategy of trading agents. This was done in the context of the Reverse TAC, or CAT, game of the Trading Agent Competition. In this game, a set of trading agents, buyers or sellers, are provided by the server and they trade their goods in one of the markets operated by the competing agents. Better knowledge of the strategy of the trading agents will allow a market maker to adapt its incentives and attract more agents to its own market. Our prediction was based on the time series of the traders’ past bids, taking into account the variation of each bid compared to its history. The results proved to be of satisfactory accuracy, both in the game’s context and when compared to other existing approaches.
Vivia Nikolaidou, Pericles A. Mitkas
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where ADMI
Authors Vivia Nikolaidou, Pericles A. Mitkas
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