A Survey on One-to-Many Negotiation: A Taxonomy of Interdependency
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.
Cite
Text
Florijn et al. "A Survey on One-to-Many Negotiation: A Taxonomy of Interdependency." International Joint Conference on Artificial Intelligence, 2025. doi:10.24963/IJCAI.2025/1159Markdown
[Florijn et al. "A Survey on One-to-Many Negotiation: A Taxonomy of Interdependency." International Joint Conference on Artificial Intelligence, 2025.](https://mlanthology.org/ijcai/2025/florijn2025ijcai-survey/) doi:10.24963/IJCAI.2025/1159BibTeX
@inproceedings{florijn2025ijcai-survey,
title = {{A Survey on One-to-Many Negotiation: A Taxonomy of Interdependency}},
author = {Florijn, Tamara C. P. and Yolum, Pinar and Baarslag, Tim},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2025},
pages = {10436-10444},
doi = {10.24963/IJCAI.2025/1159},
url = {https://mlanthology.org/ijcai/2025/florijn2025ijcai-survey/}
}