The institutional stance in agent-based simulations

This paper presents a multi-agent framework intended to animate scenarios of compliance and non-compliance in a normative system. With the purpose of describing social human behaviour, we choose to reduce social complexity by creating models of the involved agents starting from stories, and completing them with background theories derived from common-sense and expert knowledge. For this reason, we explore how an institutional perspective can be taken into account in a computational framework. Roles, institutions and rules become components of the agent architecture. The social intelligence of the agent is distributed to several cognitive modules, performing the institutional thinking, whose outcomes are coordinated in the main decision-making cycle. The institutional logic is analyzed from a general simulation perspective, and a concrete possible choice is presented, drawn from fundamental legal concepts. As a concrete result, a preliminary implementation of the framework has been developed with Jason