Innovations in Agent-Based Complex Automated Negotiations

1. Front Matter

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2. Simulation of Sequential Auction Markets Using Priced Options to Reduce Bidder Exposure

   • Lonneke Mous, Valentin Robu, Han La Poutré

   Pages 1-25

3. Desire-Based Negotiation in Electronic Marketplaces

   • Fenghui Ren, Minjie Zhang

   Pages 27-47

4. The Influence of Culture on ABMP Negotiation Parameters

   • Gert Jan Hofstede, Catholijn M. Jonker, Tim Verwaart

   Pages 49-68

5. Supporting the Design of General Automated Negotiators

   • Raz Lin, Sarit Kraus, Dmytro Tykhonov, Koen Hindriks, Catholijn M. Jonker

   Pages 69-87

6. Common Testbed Generating Tool Based on XML for Multiple Interdependent Issues Negotiation Problems

   • Katsuhide Fujita, Takayuki Ito, Mark Klein

   Pages 89-105

7. Constraint and Bid Quality Factor for Bidding and Deal Identification in Complex Automated Negotiations

   • Ivan Marsa-Maestre, Miguel A. Lopez-Carmona, Takayuki Ito, Mark Klein, Juan R. Velasco, Katsuhide Fujita

   Pages 107-128

8. Acting While Negotiating in the Convoy Formation Problem

   • Yi Luo, Ladislau Bölöni

   Pages 129-146

9. Multi-player Multi-issue Negotiation with Complete Information

   • Mengxiao Wu, Mathijs de Weerdt, Han La Poutré, Chetan Yadati, Yingqian Zhang, Cees Witteveen

   Pages 147-159

10. Automated Negotiation through a Cooperative-Competitive Model

    • Xuehong Tao, Zhiqi Shen, Chunyan Miao, Yin-Leng Theng, Yuan Miao, Han Yu

    Pages 161-178

11. An Approximation Method for Power Indices for Voting Games

    • Shaheen S. Fatima, Michael Wooldridge, Nicholas R. Jennings

    Pages 179-194

12. Back Matter

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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 negotiation, 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, decision-making support tools, negotiation support tools, collaboration tools, etc. In this book, we solicit papers on all aspects of such complex automated negotiations in the field of Autonomous Agents and Multi-Agent Systems. In addition, this book includes papers on the ANAC 2010 (Automated Negotiating Agents Competition), in which automated agents who have different negotiation strategies and implemented by different developers are automatically negotiate in the several negotiation domains. ANAC is one of real testbeds in which strategies for automated negotiating agents are evaluated in atournament style.

• Agent-Based Complex Automated Negotiations
• Computational Intelligence

• School of Techno-Business Administration, Nagoya Institute of Technology, Nagoya, Japan

  Takayuki Ito

• School of Computer Science and Software Engineering, The University of Wollongong, Australia

  Minjie Zhang

• School of Electronics and Computer Science, University of Southampton, Southampton, UK

  Valentin Robu

• Department of Computer Science, Loughborough University, Loughborough, UK

  Shaheen Fatima

• Graduate School of Science and Engineering, Yamagata University, Yonezawa, Japan

  Tokuro Matsuo

• Information Technology Center, Nagoya University, Nagoya, Japan

  Hirofumi Yamaki

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