Agent activities and environment change are what make things happen in a multi-agent system (MAS). Complexity in a MAS comes from non-trivial dependencies between activities (social interaction), and between activities and environment change (situated interaction). As they are used to manage social (agent-agent) dependencies, coordination artefacts could also be used to govern situated (agent-environment) dependencies. Along this line, in this paper we propose an event-driven architecture for complex MAS that exploits coordination to handle all sorts of dependencies in a uniform way. We first motivate the underlying meta-model and put some well-known agent-based frameworks in perspective, then we discuss its general articulation along with its reification within the TuCSoN coordination middleware.

Coordinating activities and change: An event-driven architecture for situated MAS / Mariani, Stefano; Omicini, Andrea. - In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. - ISSN 0952-1976. - 41(2015), pp. 298-309.

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