Argument-based Multi-Issue Negotiation

Fossey, Thalya; Mailly, Jean-Guy; Moraitis, Pavlos

doi:10.24963/ijcai.2025/10

Argument-based Multi-Issue Negotiation

Thalya Fossey, Jean-Guy Mailly, Pavlos Moraitis

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 81-89.

https://doi.org/10.24963/ijcai.2025/10

Keywords

Agent-based and Multi-agent Systems: MAS: Agreement technologies: Argumentation
Agent-based and Multi-agent Systems: MAS: Agreement technologies: Negotiation and contract-based systems
Knowledge Representation and Reasoning: KRR: Argumentation

Abstract

Automated negotiation aims at finding agreements between agents with conflicting goals. Existing utility-based approaches guarantee agents satisfaction with negotiation outcomes, especially in multi-issue negotiations

where concession mechanisms lead to win-win results. However, they lack explainability and do not consider agents’ beliefs. On the other hand, argument-based approaches provide reasons for accepting or rejecting offers but do not include utility modeling for offers or enable concession mechanisms in multi-issue settings. We propose a novel hybrid approach combining both types of approaches.

The utility-based component enables agents to make concessions on complex negotiation objects to achieve win-win outcomes, while the argumentation component ensures that accepted offers align with the agents' personal argumentation theories. These theories represent their beliefs, encoding various profiles, ethical considerations, social norms, or legal principles.

Thalya Fossey, Jean-Guy Mailly, and Pavlos Moraitis. 2025. Argument-based Multi-Issue Negotiation. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25. IJCAI, 81–89. https://doi.org/10.24963/ijcai.2025/10

@inproceedings{ijcai2025p10,
  title     = {Argument-based Multi-Issue Negotiation},
  author    = {Fossey, Thalya and Mailly, Jean-Guy and Moraitis, Pavlos},
  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     = {81--89},
  year      = {2025},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2025/10},
  url       = {https://doi.org/10.24963/ijcai.2025/10},
}

TY  - CPAPER
TI  - Argument-based Multi-Issue Negotiation
AU  - Fossey, Thalya
AU  - Mailly, Jean-Guy
AU  - Moraitis, Pavlos
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  - 81
EP  - 89
DO  - 10.24963/ijcai.2025/10
UR  - https://doi.org/10.24963/ijcai.2025/10
ER  -