Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
Integrating heterogeneous agent programming platforms within artifact-based environments
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Artifacts in the A&A meta-model for multi-agent systems
Autonomous Agents and Multi-Agent Systems
Monitoring teams by overhearing: a multi-agent plan-recognition approach
Journal of Artificial Intelligence Research
E4MAS through electronic institutions
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
The A&A programming model and technology for developing agent environments in MAS
ProMAS'07 Proceedings of the 5th international conference on Programming multi-agent systems
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
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Along with direct interaction models, relying on message-based explicit communication, indirect interaction models can play an important role for designing coordination strategies in Multi-Agent Systems (MAS). Among indirect models, those based on agent observability such as over-sensing achieve coordination by letting agents observe and possibly reason about (each) others' actions and state. In this paper we describe how over-sensing and, more generally, agent observability mechanism can be used in practice to program MAS in the context of artifact-based environments by exploiting the support provided by CArtAgO technology.