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.

N. Bassiliades (Nick) , G. Chalkiadakis (Georgios) , D. de Jonge (Dave)
doi.org/10.1007/978-3-030-66412-1_23
Lecture Notes in Computer Science , Lecture Notes in Artificial Intelligence
Representing Users in a Negotiation (RUN): An Autonomous Negotiator Under Preference Uncertainty
European Workshop on Multi-Agent Systems
Centrum Wiskunde & Informatica, Amsterdam, The Netherlands

Aydoğan, R, Baarslag, T, Fujita, K., Mell, J, de Jonge, D, Mohammad, Y, … 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 (pp. 366–381). doi:10.1007/978-3-030-66412-1_23