A Survey on One-To-Many Negotiation: A Taxonomy of Interdependency
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Survey Track. Pages 10436-10444.
https://doi.org/10.24963/ijcai.2025/1159
Keywords
- Agent-based and Multi-agent Systems: MAS: Agreement technologies: Negotiation and contract-based systems
- Agent-based and Multi-agent Systems: MAS: Coordination and cooperation
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.
@inproceedings{ijcai2025p1159,
title = {A Survey on One-To-Many Negotiation: A Taxonomy of Interdependency},
author = {Florijn, Tamara C.P. and Yolum, Pınar and Baarslag, Tim},
booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-25}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {James Kwok},
pages = {10436--10444},
year = {2025},
month = {8},
note = {Survey Track},
doi = {10.24963/ijcai.2025/1159},
url = {https://doi.org/10.24963/ijcai.2025/1159},
}
TY - CPAPER TI - A Survey on One-To-Many Negotiation: A Taxonomy of Interdependency AU - Florijn, Tamara C.P. AU - Yolum, Pınar AU - Baarslag, Tim T2 - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2025 SP - 10436 EP - 10444 DO - 10.24963/ijcai.2025/1159 UR - https://doi.org/10.24963/ijcai.2025/1159 ER -Copied
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