Exploiting the MAOP Approach for Multi-Level Explainability of Multi-Agent Systems

Elena Yan, Samuele Burattini, Luis Gustavo Nardin, Jomi Fred Hubner, Olivier Boissier, Jaime Simão Sichman, Alessandro Ricci

Keywords: Explainable Multi-Agent Systems, Multi-Agent Oriented Programming, Explainability

TL;DR: We enhance a multi-level explainability framework for MAS by incorporating MAOP abstractions to explain the organization, environment, and interactions beyond individual agents

Abstract: Explainability is increasingly becoming an essential non functional requirement for supporting stakeholders to understand complex systems. In multi-agent systems (MAS), we have previously introduced a multi-level explainability framework to explain the behavior of individual agents. In that framework, explainability is investigated from a software engineering perspective and supports stakeholders playing different roles in the software development life cycle (i.e., developer, designer, and end-user). In this paper, we extend that view by moving from an individual agent to a multi-agent system perspective. In particular, we enhance the multi-level explainability framework for MAS by exploiting the benefits of the Multi-Agent Oriented Programming (MAOP) approach. In this view, additional first-class abstractions concerning organization, environment, and interactions introduce a clear separation of concerns in engineering the system and explaining the behavior of MAS.

Paper Type: Regular paper

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Submission Number: 32