© 2011

Innovations in Agent-Based Complex Automated Negotiations

  • Takayuki Ito
  • Minjie Zhang
  • Valentin Robu
  • Shaheen Fatima
  • Tokuro Matsuo
  • Hirofumi Yamaki

Part of the Studies in Computational Intelligence book series (SCI, volume 319)

Table of contents

  1. Front Matter
  2. Fenghui Ren, Minjie Zhang
    Pages 27-47
  3. Gert Jan Hofstede, Catholijn M. Jonker, Tim Verwaart
    Pages 49-68
  4. Raz Lin, Sarit Kraus, Dmytro Tykhonov, Koen Hindriks, Catholijn M. Jonker
    Pages 69-87
  5. Ivan Marsa-Maestre, Miguel A. Lopez-Carmona, Takayuki Ito, Mark Klein, Juan R. Velasco, Katsuhide Fujita
    Pages 107-128
  6. Yi Luo, Ladislau Bölöni
    Pages 129-146
  7. Mengxiao Wu, Mathijs de Weerdt, Han La Poutré, Chetan Yadati, Yingqian Zhang, Cees Witteveen
    Pages 147-159
  8. Xuehong Tao, Zhiqi Shen, Chunyan Miao, Yin-Leng Theng, Yuan Miao, Han Yu
    Pages 161-178
  9. Shaheen S. Fatima, Michael Wooldridge, Nicholas R. Jennings
    Pages 179-194
  10. Back Matter

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 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 a tournament style.


Agent-Based Complex Automated Negotiations Computational Intelligence

Editors and affiliations

  • Takayuki Ito
    • 1
  • Minjie Zhang
    • 2
  • Valentin Robu
    • 3
  • Shaheen Fatima
    • 4
  • Tokuro Matsuo
    • 5
  • Hirofumi Yamaki
    • 6
  1. 1.School of Techno-Business AdministrationNagoya Institute of TechnologyNagoyaJapan
  2. 2.School of Computer Science and Software EngineeringThe University of WollongongAustralia
  3. 3.School of Electronics and Computer ScienceUniversity of SouthamptonSouthamptonUK
  4. 4.Department of Computer ScienceLoughborough UniversityLoughboroughUK
  5. 5.Graduate School of Science and EngineeringYamagata UniversityYonezawaJapan
  6. 6.Information Technology CenterNagoya UniversityNagoyaJapan

Bibliographic information

  • Book Title Innovations in Agent-Based Complex Automated Negotiations
  • Editors Takayuki Ito
    Minjie Zhang
    Valentin Robu
    Shaheen Fatima
    Tokuro Matsuo
    Hirofumi Yamaki
  • Series Title Studies in Computational Intelligence
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-642-15611-3
  • Softcover ISBN 978-3-642-26549-5
  • eBook ISBN 978-3-642-15612-0
  • Series ISSN 1860-949X
  • Series E-ISSN 1860-9503
  • Edition Number 1
  • Number of Pages VIII, 196
  • Number of Illustrations 84 b/w illustrations, 0 illustrations in colour
  • Topics Mathematical and Computational Engineering
    Artificial Intelligence
  • Buy this book on publisher's site