Abstract
Monitoring systems are often modeled through agent-based technologies. But current approaches to monitoring and activity interpretation suffer from a lack of consensus in terms of operation levels. Most approaches are standalone, which makes difficult to reuse and integrate code. This paper presents a generic tool that enables users to design and implement monitoring systems that meet their needs, regarding to the essential levels of their architecture. The specification of a meta-model, to reflect the vocabulary (concepts and relations between them) used in the specific domain of monitoring systems, guides the development of the proposed tool. The components created in the tool are implemented as intelligent agents.
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Castillo, J.C., Gascueña, J.M., Navarro, E., Fernández-Caballero, A. (2012). A Meta-model-Based Tool for Developing Monitoring and Activity Interpretation Systems. In: Pérez, J., et al. Highlights on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28762-6_14
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DOI: https://doi.org/10.1007/978-3-642-28762-6_14
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