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Implementing Over-sensing in Heterogeneous Multi-Agent Systems on top of Artifact-based Environments

Alessandro Ricci, Michele Piunti
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.
Keywords: Multi Agent Systems, Agents and Artifacts, CArtAgO, Perception
Proceedings of Seventh German conference on Multi-Agent System Technologies (MATES 2009), Lecture Notes in Computer Science 5774, pp. 232--237, 2009.
Lars Braubach, Wiebe van der Hoek, Paolo Petta, Alexander Pokahr (a cura di), Springer
@inproceedings{oversensing-mates2009,
	series = {Lecture Notes in Computer Science},
	booktitle = {Proceedings of Seventh German conference on Multi-Agent System Technologies (MATES 2009)},
	publisher = {Springer},
	author = {Ricci, Alessandro and Piunti, Michele},
	title = {Implementing Over-sensing in Heterogeneous Multi-Agent Systems on top of Artifact-based  Environments },
	isbn = {978-3-642-04142-6},
	year = 2009,
	keywords = {Multi Agent Systems, Agents and Artifacts, CArtAgO, Perception},
	pages = {232--237},
	editor = {Braubach, Lars and van der Hoek, Wiebe and Petta, Paolo and Pokahr, Alexander},
	volume = 5774}