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.
Author: Huiye Ma, Ho-fung Leung
Paperback: 142 pages
Company: Birkhäuser Basel (2008-07-01)
ISBN: 3764387297
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Agent-Mediated Electronic Commerce. Automated Negotiation and Strategy Design for Electronic Markets: Automated Negotiation and Strategy Design for Electronic ... Papers (Lecture Notes in Computer Sci
This book constitutes the thoroughly refereed post-proceedings of the joint International Workshops on Trading Agent Design and Analysis, TADA 2006, and on Agent Mediated Electronic Commerce, AMEC VIII 2006, held in Hakodate, Japan, in May 2006 as an associated event of AAMAS 2006, the 5th International Joint Conference on Autonomous Agents and Multiagent Systems.
The 17 revised full papers presented were carefully selected from the presentations made at the workshop and include papers from the annual TAC tournament whose purpose is to stimulate research in trading agents and market mechanisms by providing a platform for agents competing in well-defined market scenarios. The papers address a mix of both theoretical and practical issues in trading agent design and technologies, theoretical and empirical evaluation of strategies in complex trading scenarios as well as mechanism design. Also covered are issues of agent-mediated electronic commerce ranging from the design of electronic marketplaces and efficient protocols to behavioral aspects of agents operating in such environments.
Paperback: 249 pages
Company: Springer (2007-06-27)
ISBN: 3540725016
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Adaptive Bidding in Single-Sided Auctions under Uncertainty: An Agent-based Approach in Market Engineering (Whitestein Series in Software Agent Technologies and Autonomic Computing)
In the last years electronic markets, especially online auctions, have become very popular and received more and more attention in both, business (B2B) as well as in public practice (B2C and C2C). Science, however, is still far from having studied all phenomena and effects which can be observed on electronic markets. Apart from theoretic analysis, other approaches are necessary to evaluate and understand market effects. This book shows that and how software agents can be used to simulate bidding behaviour in electronic auctions.
The main emphasis of this book is to apply computational economics to market theory. It summarizes the most common and up-to-date agent-based simulation methods and tools and develops the simulation software AMASE. On basis of the introduced methods a model is established to simulate bidding behaviour under uncertainty.
The book addresses researchers, computer scientists, economists and students who are interested in applying agent-based computational methods to electronic markets. It helps to learn more about simulations in economics in general and common agent-based methods and tools in particular. The reader finds basic definitions and learns how to build an appropriate model for the posed research question. It is the first time that quantitative results are presented for the problem of valuation uncertainty. These results significantly contribute to existing research in computational economics and supplements interesting research aspects.
Author: Clemens van Dinther
Paperback: 238 pages
Company: Birkhäuser Basel (2007-02-02)
ISBN: 3764380942
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