@InProceedings{aydogan2020anac2019, author="Aydo{\u{g}}an, Reyhan and Baarslag, Tim and Fujita, Katsuhide and Mell, Johnathan and Gratch, Jonathan and Jonge, Dave de and Mohammad, Yasser and Nakadai, Shinji and Morinaga, Satoshi and Osawa, Hirotaka and Aranha, Claus and Jonker, Catholijn M.", editor="Bassiliades, Nick and Chalkiadakis, Georgios and de Jonge, Dave", title="Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019", booktitle="Multi-Agent Systems and Agreement Technologies", year="2020", publisher="Springer International Publishing", address="Cham", pages="366--381", 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.", isbn="978-3-030-66412-1" }