Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019

Reyhan Aydoğan, Tim Baarslag, Katsuhide Fujita, Johnathan Mell, Jonathan Gratch, Dave de Jonge, Yasser Mohammad, Shinji Nakadai, Satoshi Morinaga, Hirotaka Osawa, Claus Aranha, Catholijn M. Jonker

研究成果: Conference contribution

20 被引用数 (Scopus)

抄録

The Automated Negotiating Agents Competition (ANAC) is a yearly-organized international contest in which participants from all over the world develop intelligent negotiating agents for a variety of negotiation problems. To facilitate the research on agent-based negotiation, the organizers introduce new research challenges every year. ANAC 2019 posed five negotiation challenges: automated negotiation with partial preferences, repeated human-agent negotiation, negotiation in supply-chain management, negotiating in the strategic game of Diplomacy, and in the Werewolf game. This paper introduces the challenges and discusses the main findings and lessons learnt per league.

本文言語English
ホスト出版物のタイトルMulti-Agent Systems and Agreement Technologies - 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Revised Selected Papers
編集者Nick Bassiliades, Georgios Chalkiadakis, Dave de Jonge
出版社Springer Science and Business Media Deutschland GmbH
ページ366-381
ページ数16
ISBN(印刷版)9783030664114
DOI
出版ステータスPublished - 2020
外部発表はい
イベント17th European Conference on Multi-Agent Systems, EUMAS 2020, and 7th International Conference on Agreement Technologies, AT 2020 - Thessaloniki, Greece
継続期間: 2020 9月 142020 9月 15

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12520 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference17th European Conference on Multi-Agent Systems, EUMAS 2020, and 7th International Conference on Agreement Technologies, AT 2020
国/地域Greece
CityThessaloniki
Period20/9/1420/9/15

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般

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