The 13th International Automated Negotiating Agent Competition Challenges and Results

Reyhan Aydogan, Tim Baarslag, Katsuhide Fujita, Holger H. Hoos, Catholijn M. Jonker, Yasser Mohammad, Bram M. Renting

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.
Original languageEnglish
Title of host publicationRecent Advances in Agent-Based Negotiation
Subtitle of host publicationApplications and Competition Challenges
EditorsRafik Hadfi, Takayuki Ito, Ryuta Arisaka, Reyhan Aydoğan
Place of PublicationSingapore
PublisherSpringer
Pages87-101
Number of pages15
Edition1
ISBN (Electronic)978-981-99-0561-4
ISBN (Print)978-981-99-0560-7, 978-981-99-0563-8
DOIs
Publication statusPublished - 21 Mar 2023

Publication series

NameStudies in Computational Intelligence
Volume1092 SCI
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Bibliographical note

Funding Information:
Acknowledgments. ANAC2022 was supported by sponsors (NEC-AIST AI Cooperative Research Laboratory, BIRD INITIATIVE, TU Delft, and CWI). This research was (partly) funded by the Vidi project COMBINE (VI.Vidi.203.044) and the Hybrid Intelligence Center(024.004.022), programmes funded through the Netherlands Organisation for Scientific Research, and by EU H2020 projects “Humane AI Net” under contract # 952026 and TAILOR under GA No 952215.

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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