ANAC 2017: Repeated Multilateral Negotiation League
Publication date
2021
Authors
Reyhan, Aydo
Fujita, Katsuhide
Baarslag, Tim
Jonker, Catholijn M.
Ito, Takayuki
Editors
Ito, Takayuki
Zhang, Minjie
Aydogan, Reyhan
Advisors
Supervisors
Document Type
Part of book
Metadata
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License
cc_by
Abstract
The Automated Negotiating Agents Competition (ANAC) is annually organized competition to facilitate the research on automated negotiation. This paper presents the ANAC 2017 Repeated Multilateral Negotiation League. As human negotiators do, agents are supposed to learn from their previous negotiations and improve their negotiation skills over time. Especially, when they negotiate with the same opponent on the same domain, they can adopt their negotiation strategy according to their past experiences. They can adjust their acceptance threshold or bidding strategy accordingly. In ANAC 2017, participants aimed to develop such a negotiating agent. Accordingly, this paper describes the competition settings and results with a brief description of the winner negotiation strategies.
Keywords
Taverne, Artificial Intelligence
Citation
Reyhan, A, Fujita, K, Baarslag, T, Jonker, C M & Ito, T 2021, ANAC 2017: Repeated Multilateral Negotiation League. in T Ito, M Zhang & R Aydogan (eds), Advances in Automated Negotiations. Studies in Computational Intelligence, vol. 905, Springer, Singapore, pp. 101-115. https://doi.org/10.1007/978-981-15-5869-6_7