The 13th International Automated Negotiating Agent Competition Challenges and Results
Publication date
2023-03-21
Authors
Aydogan, Reyhan
Baarslag, Tim
Fujita, Katsuhide
Hoos, Holger H.
Jonker, Catholijn M.
Mohammad, Yasser
Renting, Bram M.
Editors
Hadfi, Rafik
Ito, Takayuki
Arisaka, Ryuta
Aydoğan, Reyhan
Advisors
Supervisors
Document Type
Part of book
Metadata
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License
taverne
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.
Keywords
Taverne, Artificial Intelligence
Citation
Aydogan, R, Baarslag, T, Fujita, K, Hoos, H H, Jonker, C M, Mohammad, Y & Renting, B M 2023, The 13th International Automated Negotiating Agent Competition Challenges and Results. in R Hadfi, T Ito, R Arisaka & R Aydoğan (eds), Recent Advances in Agent-Based Negotiation : Applications and Competition Challenges. 1 edn, Studies in Computational Intelligence, vol. 1092 SCI, Springer, Singapore, pp. 87-101. https://doi.org/10.1007/978-981-99-0561-4_5