Situation Assessment and decision making in monitoring and surveillance scenarios are evolving from centralized models to high-level, reasoning oriented, net-centric models, according to new information fusion paradigms proposed by recent research. In this paper, we propose the design of a multi-agent architecture for Situation Assessment, where situations are classified through agent collaboration, in order to provide human operators with a synthetic vision, that points out the elements of the scenario that require human intervention. Specifically, our approach provides for: i) high level classification of situations based on OWL ontology reasoning; ii) distributed assessment by a protocol which solves disagreements possibly arising among agents' conclusions. Experiments in a real maritime surveillance scenario show that the proposed approach approximates the results of a centralized architecture, while preserving independency of decision makers and dramatically reducing the amount of communication required. ©2009 ISIF.
Solving disagreements in a Multi-Agent System performing Situation Assessment / G. P., Settembre; Nardi, Daniele; R., Pigliacampo; A., Farinelli; M., Rossi. - (2009), pp. 717-724. (Intervento presentato al convegno 12th International Conference on Information Fusion tenutosi a Seattle; United States nel JUL 06-09, 2009).
Solving disagreements in a Multi-Agent System performing Situation Assessment
NARDI, Daniele;
2009
Abstract
Situation Assessment and decision making in monitoring and surveillance scenarios are evolving from centralized models to high-level, reasoning oriented, net-centric models, according to new information fusion paradigms proposed by recent research. In this paper, we propose the design of a multi-agent architecture for Situation Assessment, where situations are classified through agent collaboration, in order to provide human operators with a synthetic vision, that points out the elements of the scenario that require human intervention. Specifically, our approach provides for: i) high level classification of situations based on OWL ontology reasoning; ii) distributed assessment by a protocol which solves disagreements possibly arising among agents' conclusions. Experiments in a real maritime surveillance scenario show that the proposed approach approximates the results of a centralized architecture, while preserving independency of decision makers and dramatically reducing the amount of communication required. ©2009 ISIF.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.