Rational, Robust, and Secure Negotiations in Multi-Agent Systems

1. Front Matter

   Pages i-xi

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2. Theories for Complex Multi-Agent Systems

   1. Negotiation Agents' Decision Making Using Markov Chains

      • Bo An, Kwang Mong Sim, Liang Gui Tang, Chun Yan Miao, Zhi Qi Shen, Dai Jie Cheng

      Pages 3-23

   2. A Multi-Issue Negotiation Protocol Among Nonlinear Utility Agents: A Preliminary Report

      • Takayuki Ito, Mark Klein, Hiromitsu Hattori

      Pages 25-38

   3. A Decentralized Model for Multi-Attribute Negotiations with Incomplete Information and General Utility Functions

      • Guoming Lai, Katia Sycara, Cuihong Li

      Pages 39-57

   4. A General Model for Pareto Optimal Multi-Attribute Negotiations

      • Guoming Lai, Cuihong Li, Katia Sycara

      Pages 59-80

   5. Cooperation-Based Multilateral Multi-Issue Negotiation for Crisis Management

      • Miniar Hemaissia, Amal El Fallah Seghrouchni, Christophe Labreuche, Juliette Mattioli

      Pages 81-100

   6. A Fuzzy Logic-Based Approach for Flexible Self-Interested Agent Team Forming

      • Quan Bai, Minjie Zhang

      Pages 101-113

3. Practical Approach for Complex Multi-Agent Systems

   1. A Novel Group Signature Scheme Based on Bilinear Pairings and Gap Diffie–Hellman Group

      • Chin-Chen Chang, Pen-Yi Chang, Iuon-Chang Lin

      Pages 117-125

   2. Experimental Evaluation of Possibilistic Mechanism for Negotiation Partners Selection

      • Jakub Brzostowski, Ryszard Kowalczyk

      Pages 127-145

   3. Constructing the Structure of Utility Graphs Used in Multi-Item Negotiation Through Collaborative Filtering of Aggregate Buyer Preferences

      • Valentin Robu, Han La Poutré

      Pages 147-168

   4. Asynchronous Constraint-Based Approach: New Solution for any Constraint Problem

      • Ahlem Ben Hassine, Tu Bao Ho

      Pages 169-184

Negotiation mechanisms have been studied widely in the ?eld of multi-agent systems. They possess a variety of features that enable agents be negotiate with each other even in open environments. However, mainly because of l- ited computational power, there are several assumptions that traditionally limit the degree of openness. Recent studies have tended to focus on c- pletely open and highly uncertain environments that apply agent systems to the real world. For example, in emergency rescue domains, we cannot expect to know when and where a ?re starts and when humans are likely to be - jured. Also, in Internet auctions, there can be shill bids since there are many unauthenticated participants. Nowadays, we can employ machines with large computational power to compute an optimal way for agents to negotiate, even incompletelyopenandhighlyuncertainenvironments. Forthepracticaluseof multi-agent systems in the real world, the reliability of each agent’s behavior is essentially required. Concretely, agents must obtain the most appropriate solution/solutions based on rational, robust, and secure negotiation among multiple agents even if the environment is intractable. We solicit papers on all aspects of such negotiation mechanisms in multi-agent systems, including multi-issue negotiations, concurrent negotiations, strategy-proof mechanisms, rational argumentation, auctions and voting, and so on. These issues are - ing explored by researchers from di?erent communities in multi-agent s- tems. They are, for instance, being studied in agent negotiation, multi-issue negotiations, auctions, mechanism design, electronic commerce, voting, - cure protocols, matchmaking and brokering, argumentation, and co-operation mechanisms.

• Markov
• Rational Negotiations
• Robust Negotiations
• Secure Negotiations
• agents
• argumentation
• filtering
• fuzzy
• fuzzy logic
• markov chains
• model
• multi-agent system
• multi-agent systems

• Nagoya Institute of Technology, Japan

  Takayuki Ito

• Kyoto University, Japan

  Hiromitsu Hattori

• University of Wollongong, Australia

  Minjie Zhang

• Yamagata University, Japan

  Tokuro Matsuo

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