Editors:
- Presents edited results of the 8th International Workshop on Agent-based Complex Automated Negotiations (ACAN) held in Istanbul, Turkey, May 2015
- Communicates approaches from researchers in various subfields of autonomous agents and multi-agent systems
- Written by experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 674)
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Table of contents (21 chapters)
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Front Matter
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Agent-Based Complex Automated Negotiations
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Front Matter
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Automated Negotiating Agents Competition
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Front Matter
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About this book
This book addresses several important aspects of complex automated negotiations and introduces a number of modern approaches for facilitating agents to conduct complex negotiations. It demonstrates that autonomous negotiation is one of the most important areas in the field of autonomous agents and multi-agent systems. Further, it presents complex automated negotiation scenarios that involve negotiation encounters that may have, for instance, a large number of agents, a large number of issues with strong interdependencies and/or real-time constraints.
Editors and Affiliations
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Tokyo University of Agriculture and Technology, Tokyo, Japan
Katsuhide Fujita
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School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand
Quan Bai
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School of Techno-Business Administration, Nagoya Institute of Technology, Nagoya, Japan
Takayuki Ito
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School of Computing and Information Technology, University of Wollongong, Wollongong, Australia
Minjie Zhang, Fenghui Ren
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Ozyegin University, Istanbul, The Netherlands
Reyhan Aydoğan
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Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Nagoya, Japan
Rafik Hadfi
Bibliographic Information
Book Title: Modern Approaches to Agent-based Complex Automated Negotiation
Editors: Katsuhide Fujita, Quan Bai, Takayuki Ito, Minjie Zhang, Fenghui Ren, Reyhan Aydoğan, Rafik Hadfi
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-51563-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-51561-8Published: 18 April 2017
Softcover ISBN: 978-3-319-84684-2Published: 21 July 2018
eBook ISBN: 978-3-319-51563-2Published: 07 April 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XI, 255
Number of Illustrations: 20 b/w illustrations, 67 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, e-Commerce/e-business, Complexity
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