Give agents their artifacts: the A&A approach for engineering working environments in MAS
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
INFRASTRUCTURE FOR RBAC-MAS: AN APPROACH BASED ON AGENT COORDINATION CONTEXTS
Applied Artificial Intelligence
Artifacts in the A&A meta-model for multi-agent systems
Autonomous Agents and Multi-Agent Systems
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Argumentation in Multi-Agent Systems
Simulating socially intelligent agents in semantic virtual environments
The Knowledge Engineering Review
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Multiagent and Grid Systems - Engineering Environments in Multiagent Systems
Coordination and sociability for intelligent virtual agents
COIN'07 Proceedings of the 2007 international conference on Coordination, organizations, institutions, and norms in agent systems III
Environment programming in multi-agent systems: an artifact-based perspective
Autonomous Agents and Multi-Agent Systems
LADS'09 Proceedings of the Second international conference on Languages, Methodologies, and Development Tools for Multi-Agent Systems
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In contrast to standard approaches based on agent communication languages (ACLs), environment-based coordination is emerging as an interesting alternative for structuring interactions in multiagent systems (MASs). In particular, the notion of coordination artifacts has been proposed as an engineering methodology to build runtime abstractions effectively providing collaborating agents with specifically designed coordination tasks.In this paper, we study the semantics for the interaction of agents with coordination artifacts playing the same role of ACL semantics, that is, supporting semantic interoperability between agents developed by different parties through the connection between rationality and interaction. Our approach is rooted on the notion of operating instructions of coordination artifacts, which—as with a manual for a human exploiting a device—describe the interaction protocols the agent can follow as well as the mentalistic semantics of each single interaction. By tackling some of the most relevant issues raised in the context of ACL semantics, our framework allows intelligent, BDI-like agents to carry on complex interactions through coordination artifacts in a rational way.