ANAC 2018
Repeated Multilateral Negotiation League
Reyhan Aydogan (Özyeğin University)
Katsuhide Fujita (Tokyo University of Agriculture and Technology)
Tim Baarslag (TU Delft - Interactive Intelligence, Centrum Wiskunde & Informatica (CWI))
Catholijn Jonker (TU Delft - Interactive Intelligence, Universiteit Leiden)
Takayuki Ito (Nagoya Institute of Technology)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
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.