A Survey on One-To-Many Negotiation: A Taxonomy of Interdependency

Publication date

2025

Authors

Florijn, Tamara C.P.
Yolum Birbil, PinarORCID 0000-0001-7848-1834ISNI 0000000492960622
Baarslag, TimISNI 0000000419526790

Editors

Kwok, James

Advisors

Supervisors

Document Type

Part of book

License

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