Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019
Publication date
2020
Authors
Aydogan, Reyhan
Baarslag, Tim
Fujita, Katsuhide
Mell, Johnathan
Gratch, Jonathan
de Jonge, Dave
Mohammad, Yasser
Nakadai, Shinji
Morinaga, Satoshi
Osawa, Hirotaka
Editors
Bassiliades, Nick
Chalkiadakis, Georgios
de Jonge, Dave
Advisors
Supervisors
Document Type
Part of book
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taverne
Abstract
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.
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Citation
Aydogan, R, Baarslag, T, Fujita, K, Mell, J, Gratch, J, de Jonge, D, Mohammad, Y, Nakadai, S, Morinaga, S, Osawa, H, Aranha, C & Jonker, C M 2020, Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019. in N Bassiliades, G Chalkiadakis & D de Jonge (eds), Multi-Agent Systems and Agreement Technologies. Springer, Cham, pp. 366-381. https://doi.org/10.1007/978-3-030-66412-1_23