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Recent Advances in Agent-based Complex Automated Negotiation

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  • © 2016

Overview

Editors:
  1. Naoki Fukuta

    1. Hamamatsu, Japan

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  2. Takayuki Ito

    1. Nagoya Institute of Technology, Nagoya, Japan

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  3. Minjie Zhang

    1. School of Computer Science, University of Wollongong, Wollongong, Australia

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  4. Katsuhide Fujita

    1. Tokyo University of Agriculture and, Tokyo, Japan

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  5. Valentin Robu

    1. Institute of Sensors, Signals, Heriot-Watt University, Riccarton, United Kingdom

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  • Covers recent advances in Complex Automated Negotiations
  • Carefully edited and selected results of the 7th International Workshop on Agent-based Complex Automated Negotiations (ACAN) ACAN'14 held in Paris, France
  • Offers a brief introduction to Agent-based Complex Automated Negotiation, based on tutorials provided in the workshop, and brief summaries and descriptions about ACAN'14 competition
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 638)

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Table of contents (21 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Automated Negotiation Strategy and Model

    1. Front Matter

      Pages 1-1
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    2. Prediction of the Opponent’s Preference in Bilateral Multi-issue Negotiation Through Bayesian Learning

      • Jihang Zhang, Fenghui Ren, Minjie Zhang
      Pages 3-20

    3. Automated Negotiating Agent with Strategy Adaptation for Multi-times Negotiations

      • Katsuhide Fujita
      Pages 21-37

    4. Optimal Non-adaptive Concession Strategies with Incomplete Information

      • Tim Baarslag, Rafik Hadfi, Koen Hindriks, Takayuki Ito, Catholijn Jonker
      Pages 39-54

    5. Handling Agents’ Incomplete Information in a Coalition Formation Model

      • Souhila Arib, Samir Aknine, Thomas Genin
      Pages 55-70

    6. A Multiagent Multilateral Negotiation Protocol for Joint Decision-Making

      • Romain Caillere, Souhila Arib, Samir Aknine, Chantal Berdier
      Pages 71-88

    7. On the Complexity of Utility Hypergraphs

      • Rafik Hadfi, Takayuki Ito
      Pages 89-105

    8. Negotiations in Holonic Multi-agent Systems

      • Rahmatollah Beheshti, Roghayeh Barmaki, Nasser Mozayani
      Pages 107-118

  3. Applications of Automated Negotiations

    1. Front Matter

      Pages 119-119
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    2. A Group Task Allocation Strategy in Open and Dynamic Grid Environments

      • Yan Kong, Minjie Zhang, Dayong Ye
      Pages 121-139

    3. A Performance Optimization Support Framework for GPU-Based Traffic Simulations with Negotiating Agents

      • Yoshihito Sano, Yoshiaki Kadono, Naoki Fukuta
      Pages 141-156

    4. RECON: A Robust Multi-agent Environment for Simulating COncurrent Negotiations

      • Bedour Alrayes, Özgür Kafalı, Kostas Stathis
      Pages 157-174

    5. Using Transfer Learning to Model Unknown Opponents in Automated Negotiations

      • Siqi Chen, Shuang Zhou, Gerhard Weiss, Karl Tuyls
      Pages 175-192

    6. Gaussian-Based Bidding Strategies for Service Composition Simulations

      • Silvia Rossi, Dario Di Nocera, Claudia Di Napoli
      Pages 193-208

  4. Automated Negotiating Agent Competition 2014

    1. Front Matter

      Pages 209-209
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    2. The Fifth Automated Negotiating Agents Competition (ANAC 2014)

      • Katsuhide Fujita, Reyhan Aydoğan, Tim Baarslag, Takayuki Ito, Catholijn Jonker
      Pages 211-224

    3. GANGSTER: An Automated Negotiator Applying Genetic Algorithms

      • Dave de Jonge, Carles Sierra
      Pages 225-234

    4. AgentM

      • Makoto Niimi, Takayuki Ito
      Pages 235-240

    5. k-GAgent: Negotiating Agents Considering Interdependencies Between Issues

      • Shinji Kakimoto, Katsuhide Fujita
      Pages 241-247
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Keywords

About this book

This book covers recent advances in Complex Automated Negotiations as a widely studied emerging area in the field of Autonomous Agents and Multi-Agent Systems. The book includes selected revised and extended papers from the 7th International Workshop on Agent-Based Complex Automated Negotiation (ACAN2014), which was held in Paris, France, in May 2014. The book also includes brief introductions about Agent-based Complex Automated Negotiation which are based on tutorials provided in the workshop, and brief summaries and descriptions about the ANAC'14 (Automated Negotiating Agents Competition) competition, where authors of selected finalist agents explain the strategies and the ideas used by them. The book is targeted to academic and industrial researchers in various communities of autonomous agents and multi-agent systems, such as agreement technology, mechanism design, electronic commerce, related areas, as well as graduate, undergraduate, and PhD students working in those areas or having interest in them.

Editors and Affiliations

  • Hamamatsu, Japan

    Naoki Fukuta

  • Nagoya Institute of Technology, Nagoya, Japan

    Takayuki Ito

  • School of Computer Science, University of Wollongong, Wollongong, Australia

    Minjie Zhang

  • Tokyo University of Agriculture and, Tokyo, Japan

    Katsuhide Fujita

  • Institute of Sensors, Signals, Heriot-Watt University, Riccarton, United Kingdom

    Valentin Robu

Bibliographic Information

  • Book Title: Recent Advances in Agent-based Complex Automated Negotiation

  • Editors: Naoki Fukuta, Takayuki Ito, Minjie Zhang, Katsuhide Fujita, Valentin Robu

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-30307-9

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-30305-5Published: 04 April 2016

  • Softcover ISBN: 978-3-319-80775-1Published: 25 April 2018

  • eBook ISBN: 978-3-319-30307-9Published: 24 March 2016

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIII, 293

  • Number of Illustrations: 7 b/w illustrations, 79 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Game Theory, Economics, Social and Behav. Sciences

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