ANAC 2017

Repeated Multilateral Negotiation League

Conference paper (2021)

Authors

Reyhan Aydoğan Interactive Intelligence - EEMCS , Özyeğin University
Katsuhide Fujita Tokyo University of Agriculture and Technology
T. Baarslag Centrum Wiskunde & Informatica (CWI)
C.M. Jonker Interactive Intelligence - EEMCS
T Ito Nagoya Institute of Technology
Research Group
Interactive Intelligence (EEMCS) (TU Delft)
Copyright: © 2021 Reyhan Aydoğan, Katsuhide Fujita, T. Baarslag, C.M. Jonker, Takayuki Ito
DOI: https://doi.org/10.1007/978-981-15-5869-6_7
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Published Date

2021

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

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.

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