An adaptive attitude bidding strategy for agents in continuous double auctions
Electronic Commerce Research and Applications
Strategic software agents in continuous double auction under dynamic environments
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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Continuous Double Auction (CDA) is a popular market institution for real-world trading of commodities as well as electronic marketplaces. In this paper, we present the design and analysis of a new strategy for buyer and seller agents participating in agent-based CDAs. We consider a series of CDAs, the participants of which have similar behaviors in any two successive CDAs. These strategies employ heuristic rules and reasoning mechanism based on a two-level adaptive bid-determination method, including long-term and short-term attitudes. Agents adopting these strategies dynamically adjust their behaviors in response to the changes of the supply-demand relation in the market. Experiments show that agents adopting these strategies outperform other strategies reported in the literature.