ANAC 2018

Repeated Multilateral Negotiation League

Conference paper (2019)

Authors

Reyhan Aydoğan Özyeğin University
Katsuhide Fujita Tokyo University of Agriculture and Technology
T. Baarslag Interactive Intelligence - EEMCS , Centrum Wiskunde & Informatica (CWI)
C.M. Jonker Universiteit Leiden, Interactive Intelligence - EEMCS
T Ito Nagoya Institute of Technology
Research Group
Interactive Intelligence (EEMCS) (TU Delft)
Copyright: © 2019 Reyhan Aydoğan, Katsuhide Fujita, T. Baarslag, C.M. Jonker, Takayuki Ito
DOI: https://doi.org/10.1007/978-3-030-39878-1_8
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Published Date

2019

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

Abstract

This is an extension from a selected paper from JSAI2019. There are a number of research challenges in the field of Automated Negotiation. The Ninth International Automated Negotiating Agent Competition encourages participants to develop effective negotiating agents, which can negotiate with multiple opponents more than once. This paper discusses research challenges for such negotiations as well as presenting the competition set-up and results. The results show that winner agents mostly adopt hybrid bidding strategies that take their opponents’ preferences as well as their strategy into account.

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