A Survey on One-To-Many Negotiation: A Taxonomy of Interdependency
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Publication date
2025
Editors
Kwok, James
Advisors
Supervisors
Document Type
Part of book
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taverne
Abstract
One-to-many negotiations are widely applied in various domains, contributing to efficient resource allocation and effective decision making. This wide variety of applications also brings a wide variety of implemented protocols, terminology and utility functions, which makes it hard to compare and improve strategies using existing solutions. We introduce a meta-model of negotiations, which characterizes almost all one-to-many negotiation research, bringing a unified description of the negotiations. This meta-model allows us to identify different classes of interdependency based on utility functions. We show how existing one-to-many negotiations are related to each other, finding new insights and identifying knowledge gaps. We suggest that a general utility function framework and benchmark scenarios for one-to-many negotiations could accommodate future advancement in this field.
Keywords
Taverne, Artificial Intelligence
Citation
Florijn, T C P, Yolum, P & Baarslag, T 2025, A Survey on One-To-Many Negotiation : A Taxonomy of Interdependency. in J Kwok (ed.), Proceedings of the 34th International Joint Conference on Artificial Intelligence, IJCAI 2025. IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, pp. 10436-10444, 34th Internationa Joint Conference on Artificial Intelligence, IJCAI 2025, Montreal, Canada, 16/08/25. https://doi.org/10.24963/ijcai.2025/1159, conference