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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


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.
Original languageEnglish
Title of host publicationMulti-Agent Systems and Agreement Technologies
EditorsNick Bassiliades, Georgios Chalkiadakis, Dave de Jonge
Place of PublicationCham
Number of pages16
ISBN (Electronic)978-3-030-66412-1
ISBN (Print)978-3-030-66411-4
Publication statusPublished - 2020


Dive into the research topics of 'Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019'. Together they form a unique fingerprint.

Cite this