Arrow Research search
Back to AAMAS

AAMAS 2025

Requirements-based Explainability for Multi Agent Systems

Conference Paper Extended Abstracts Autonomous Agents and Multiagent Systems

Abstract

Explainability is essential for building trust in intelligent and autonomous systems. However, existing techniques for explainability focus on the behaviour of the system, but do not go back to the system’s requirements. We provide fully traceable explanations that link back to requirements, expressed as User and System stories, by extending previous work on explainable agents (XAg) that uses an agent design pattern. Our implementation leverages industry-grade mainstream monitoring tools.

Authors

Keywords

  • Explainable Agents (XAg)
  • requirements
  • Verification
  • Monitoring

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2025
Indexed papers
7403
Paper id
442631760517842094