Overview
- Presents recent research in agent-based complex automated negotiations
Part of the book series: Studies in Computational Intelligence (SCI, volume 233)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Complex Automated Negotiations have been widely studied and are becoming an important, emerging area in the field of Autonomous Agents and Multi-Agent Systems. In general, automated negotiations can be complex, since there are a lot of factors that characterize such negotiations. These factors include the number of issues, dependency between issues, representation of utility, negotiation protocol, negotiation form (bilateral or multi-party), time constraints, etc. Software agents can support automation or simulation of such complex negotiations on the behalf of their owners, and can provide them with adequate bargaining strategies. In many multi-issue bargaining settings, negotiation becomes more than a zero-sum game, so bargaining agents have an incentive to cooperate in order to achieve efficient win-win agreements. Also, in a complex negotiation, there could be multiple issues that are interdependent. Thus, agent’s utility will become more complex than simple utility functions. Further, negotiation forms and protocols could be different between bilateral situations and multi-party situations. To realize such a complex automated negotiati on, we have to incorporate advanced Artificial Intelligence technologies includes search, CSP, graphical utility models, Bays nets, auctions, utility graphs, predicting and learning methods. Applications could include e-commerce tools, decisionmaking support tools, negotiation support tools, collaboration tools, etc.
These issues are explored by researchers from different communities in Autonomous Agents and Multi-Agent systems. They are, for instance, being studied in agent negotiation, multi-issue negotiations, auctions, mechanism design, electronic commerce, voting, secure protocols, matchmaking & brokering, argumentation, and co-operation mechanisms. This book is also edited from some aspects of negotiation researches including theoretical mechanism design of trading based on auctions, allocation mechanismbased on negotiation among multi-agent, case-study and analysis of automated negotiations, data engineering issues in negotiations, and so on.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Agent-Based Complex Automated Negotiations
Editors: Takayuki Ito, Minjie Zhang, Valentin Robu, Shaheen Fatima, Tokuro Matsuo
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-03190-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-642-03189-2Published: 14 September 2009
Softcover ISBN: 978-3-642-26032-2Published: 14 March 2012
eBook ISBN: 978-3-642-03190-8Published: 06 October 2009
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: VIII, 216
Number of Illustrations: 82 b/w illustrations
Topics: Artificial Intelligence, Mathematical and Computational Engineering