Advances in Agent-Based Complex Automated Negotiations

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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 mechanism based on negotiation among multi-agent, case-study and analysis of automated negotiations, data engineering issues in negotiations, and so on.

Author(s): Fenghui Ren, Minjie Zhang (auth.), Takayuki Ito, Minjie Zhang, Valentin Robu, Shaheen Fatima, Tokuro Matsuo (eds.)
Series: Studies in Computational Intelligence 233
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009

Language: English
Pages: 216
Tags: Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)

Front Matter....Pages -
The Prediction of Partners’ Behaviors in Self-interested Agents....Pages 1-20
Sequential Auctions for Common Value Objects with Budget Constrained Bidders....Pages 21-37
A Comparative Study of Argumentation- and Proposal-Based Negotiation....Pages 39-59
The Blind Leading the Blind: A Third-Party Model for Bilateral Multi-issue Negotiations under Incomplete Information....Pages 61-88
Using Clustering Techniques to Improve Fuzzy Constraint Based Automated Purchase Negotiations....Pages 89-117
Assess Your Opponent: A Bayesian Process for Preference Observation in Multi-attribute Negotiations....Pages 119-137
Designing Risk-Averse Bidding Strategies in Sequential Auctions for Transportation Orders....Pages 139-160
CPN-Based State Analysis and Prediction for Multi-agent Scheduling and Planning....Pages 161-176
Adaptive Commitment Management Strategy Profiles for Concurrent Negotiations....Pages 177-195
Analyses of Task Allocation Based on Credit Constraints....Pages 197-214
Erratum: The Prediction of Partners’ Behaviors in Self-interested Agents....Pages E1-E1
Back Matter....Pages -