Abstract
Syntactic pattern recognition-based analyzers (parsers) have been proposed [4],[7] as efficient tools for analysis of complex trend functions (patterns) which describe a behaviour of an industrial equipment. In this paper we present the application of the parsers in a real-time diagnostic and control expert system. The expert system has been designed as a sophisticated multi-agent system, where the parsers have been embedded in the agents of pattern recognition-type. The architecture of the agents and their role in the system is discussed in the paper.
This work was supported by the European Commission within European Strategic Programme for Research in Information Technology, ESPRIT, (CRIT2 project Intelligent Control of Complex and Safety Critical Systems with the Help of Artificial Intelligence- and Pattern Recognition- Based Software Technologies).
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Jurek, J. (2002). Syntactic Pattern Recognition-Based Agents for Real-Time Expert Systems. In: Dunin-Keplicz, B., Nawarecki, E. (eds) From Theory to Practice in Multi-Agent Systems. CEEMAS 2001. Lecture Notes in Computer Science(), vol 2296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45941-3_17
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DOI: https://doi.org/10.1007/3-540-45941-3_17
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