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.

First book to focus on continuous double auctions (CDAs) where a limited amount of seller agents and buyer agents trade what they want First time to propose some generally used tools which are shown to improve the performance of various existing bidding strategies in CDAs Gives a systematic way to describe how to design experiments for agent based CDAs

Inhalt
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.