Author
Aydoğan, Reyhan, Baarslag, T., Fujita, K., Mell, J., Gratch, J., de Jonge, D., Mohammad, Y., Nakadai, S., Morinaga, S., Osawa, H., Aranha, C., Jonker, C. M.
Publication Date
2020
Publication Place
-
Springer
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-303066411-4
Record ID
98e5cf4e-a17e-4cb5-a917-ce806ae2dca0
Library Location
Computer Science
Date
2020
Notes
Army Research Office ; Nederlandse Organisatie voor Wetenschappelijk Onderzoek ; European Union’s Horizon Europe
Sample Text
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.
Editör
Bassiliades, N., Chalkiadakis, G., de Jonge, D.
DOI
10.1007/978-3-030-66412-1_23
Cilt
12520
