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Principles of Automated Negotiation
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    Tunalı, Okan Aydoğan, Reyhan and Sanchez-Anguix, Victor 2017. PRIMA 2017: Principles and Practice of Multi-Agent Systems. Vol. 10621, Issue. , p. 263.

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    Erez, Eden S. Zuckerman, Inon and Hermel, Dror 2017. Automatic negotiation: playing the domain instead of the opponent. Journal of Experimental & Theoretical Artificial Intelligence, Vol. 29, Issue. 3, p. 597.

    Aydoğan, Reyhan Festen, David Hindriks, Koen V. and Jonker, Catholijn M. 2017. Modern Approaches to Agent-based Complex Automated Negotiation. Vol. 674, Issue. , p. 153.

    Güneş, Taha D. Arditi, Emir and Aydoğan, Reyhan 2017. PRIMA 2017: Principles and Practice of Multi-Agent Systems. Vol. 10621, Issue. , p. 450.

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    de Weerd, Harmen Verbrugge, Rineke and Verheij, Bart 2017. Negotiating with other minds: the role of recursive theory of mind in negotiation with incomplete information. Autonomous Agents and Multi-Agent Systems, Vol. 31, Issue. 2, p. 250.

    Alrayes, Bedour Kafalı, Özgür and Stathis, Kostas 2017. Concurrent bilateral negotiation for open e-markets: the Conan strategy. Knowledge and Information Systems,

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    Chen, Cheng Zheng, Lan Srinivasan, Venkatesh Thomo, Alex Wu, Kui and Sukow, Anthony 2016. Conflict-Aware Weighted Bipartite B-Matching and Its Application to E-Commerce. IEEE Transactions on Knowledge and Data Engineering, Vol. 28, Issue. 6, p. 1475.

    Kraus, Sarit 2016. Human-Agent Decision-making: Combining Theory and Practice. Electronic Proceedings in Theoretical Computer Science, Vol. 215, Issue. , p. 13.

    Vo, Quoc Bao Tran, Trong Hieu and Nguyen, Thi Hong Khanh 2016. On the Use of Surplus Division to Facilitate Efficient Negotiation in the Presence of Incomplete Information. Procedia Computer Science, Vol. 96, Issue. , p. 295.

    Fatima, Shaheen and Wooldridge, Michael 2016. Majority bargaining for resource division. Autonomous Agents and Multi-Agent Systems, Vol. 30, Issue. 2, p. 331.

    Fatima, Shaheen Kraus, Sarit and Wooldridge, Michael 2014. The Negotiation Game. IEEE Intelligent Systems, Vol. 29, Issue. 5, p. 57.

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    Principles of Automated Negotiation
    • Online ISBN: 9780511751691
    • Book DOI: https://doi.org/10.1017/CBO9780511751691
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Book description

With an increasing number of applications in the context of multi-agent systems, automated negotiation is a rapidly growing area. Written by top researchers in the field, this state-of-the-art treatment of the subject explores key issues involved in the design of negotiating agents, covering strategic, heuristic, and axiomatic approaches. The authors discuss the potential benefits of automated negotiation as well as the unique challenges it poses for computer scientists and for researchers in artificial intelligence. They also consider possible applications and give readers a feel for the types of domains where automated negotiation is already being deployed. This book is ideal for graduate students and researchers in computer science who are interested in multi-agent systems. It will also appeal to negotiation researchers from disciplines such as management and business studies, psychology and economics.

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