Author
Aydoğan, Reyhan, Baarslag, T., Fujita, K., Hoos, H. H., Jonker, C. M., Mohammad, Y., Renting, B. M.
Publication Date
2023
Publication Place
-
Springer
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-981990560-7
Record ID
302b2971-d02e-4b77-b6ca-406d7acc8b91
Library Location
Computer Science
Date
2023
Notes
Hybrid Intelligence Center ; NEC-AIST AI Cooperative Research Laboratory ; BIRD Foundation ; Horizon 2020 Framework Programme ; Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Sample Text
An international competition for negotiating agents has been organized for years to facilitate research in agent-based negotiation and to encourage the design of negotiating agents that can operate in various scenarios. The 13th International Automated Negotiating Agents Competition (ANAC 2022) was held in conjunction with IJCAI2022. In ANAC2022, we had two leagues: Automated Negotiation League (ANL) and Supply Chain Management League (SCML). For the ANL, the participants designed a negotiation agent that can learn from the previous bilateral negotiation sessions it was involved in. In contrast, the research challenge was to make the right decisions to maximize the overall profit in a supply chain environment, such as determining with whom and when to negotiate. This chapter describes the overview of ANL and SCML in ANAC2022, and reports the results of each league, respectively.
DOI
10.1007/978-981-99-0561-4_5
Cilt
1092 SCI
