Diagnosis of multi-agent systems and its application to public administration

Abstract

In this paper we present a model-based diagnosis view on the complex social systems in which large public administration organizations operate. The purpose of diagnosis as presented in this paper is to identify agent role instances that are not conforming to expectations in a multi-agent system (MAS). To this end, we introduce model-based diagnosis of an imperfectly observable multi-agent system. We propose the model-based diagnosis problem as an explanation of major driving forces behind policy making, and requests for change to IT and business process design departments, in public administration. This makes model-based diagnosis a useful legal knowledge acquisition model for public administration. © 2011 Springer-Verlag.