ANAC 2018: Repeated Multilateral Negotiation League

Reyhan Aydogan, Katsuhide Fujita, Tim Baarslag, Catholijn Jonker, Takayuki Ito

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

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Abstract

There are a number of research challenges in the field of Automated Negotiation. The Ninth International Automated Negotiating Agent Competition aimed to encourage participants to develop effective negotiating agents, which can negotiate with multiple opponents more than once. This paper discusses essential research challenges for such negotiations as well as presenting the competition set-up and results. Results showed that winner agents mostly adopt hybrid bidding strategies and take their opponents' preferences as well as their strategy into account.
Original languageEnglish
Title of host publicationThe 33rd Annual Conference of the Japanese Society for Artificial Intelligence
Place of PublicationNiigata
Pages1-4
Number of pages4
Publication statusPublished - 2019
EventThe 33rd Annual Conference of the Japanese Society for Artificial Intelligence - Niigata, Japan
Duration: 4 Jun 20197 Jun 2019
http://www.ai-gakkai.or.jp/jsai2019/en

Conference

ConferenceThe 33rd Annual Conference of the Japanese Society for Artificial Intelligence
Abbreviated titleJSAI 2019
CountryJapan
CityNiigata
Period4/06/197/06/19
Internet address

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