Bidding Strategies in Agent-Based Continuous Double Auctions

• Κύριοι συγγραφείς: Ma, Huiye (Συγγραφέας), Leung, Ho-fung (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Basel : Birkhäuser Basel, 2008.
• Σειρά: Whitestein Series in Software Agent Technologies and Autonomic Computing
• Θέματα: Computer science.; Computers.; Computer Science.; Information Systems and Communication Service.

 Online auctions are a platform to trade goods on the Internet. In this context, negotiation capabilities for software agents in continuous double auctions (CDAs) are a central concern. Agents need to be able to prepare bids for and evaluate offers on behalf of the users they represent with the aim of obtaining the maximum benefit for their users. For the agents, their bids are decided according to some bidding strategy. However, in CDAs, it is a complex decision problem because of the inherent uncertainty and dynamics of the auction market. In this book, we present a new bidding strategy for agents to adopt in CDAs and propose tools to enhance the performance of existing bidding strategies in CDAs. The superior performance of the new bidding strategy as well as the tools presented in this book are illustrated through extensive experiments. 

 Agent-Based CDAs and Bidding Strategies -- The Adaptive Attitude Bidding Strategy -- Soft Asks and Soft Bids -- Adaptive Judgement of Price Acceptability -- Adaptive Time Strategies -- Discussion of the Results -- Conclusions and Future Work.