The 13th International Automated Negotiating Agent Competition Challenges and Results
Reyhan Aydoğan (Özyeğin University, TU Delft - Interactive Intelligence)
Tim Baarslag (Universiteit Utrecht, Centrum Wiskunde & Informatica (CWI))
Katsuhide Fujita (National Institute of Advanced Industrial Science and Technology (AIST), Tokyo University of Agriculture and Technology)
Holger H. Hoos (University of British Columbia, RWTH Aachen University, Universiteit Leiden)
Catholijn M. Jonker (Universiteit Leiden, TU Delft - Interactive Intelligence)
Yasser Mohammad (NEC Corporation, National Institute of Advanced Industrial Science and Technology (AIST))
Bram M. Renting (TU Delft - Interactive Intelligence, Universiteit Leiden)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
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.