Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019
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)|
|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|
|Organisation||Centrum Wiskunde & Informatica, Amsterdam (CWI), 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