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IJCAI 2025

Argument-based Multi-Issue Negotiation

Conference Paper Agent-based and Multi-agent Systems Artificial Intelligence

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.

Authors

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

Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
887033519240243272
v2026.09.13