Abstract
The multi-agent model for constructing process control intelligent systems is discussed in the paper. Agents of the model are based on three paradigms: pattern recognition, formal (string and graph) automata and rules. The efficient syntactic pattern recognition schemes are used for analysing string and graph structures that represent a structured knowledge. For string-like structures DPLL(k) quasi-context sensitive languages are applied. Graph structures are analysed with ETPL(k) graph parsers in a polynomial time. Grammatical inference algorithms can be used for both kinds of structures. It allows one to embed self-learning schemes in agents of the model.
This work was supported by the European Commission under grant ESPRIT 20288-13 Intelligent Control of Complex and Safety Critical Systems with the Help of Artificial Intelligence- and Pattern Recognition- Based Software Technologies within the European Strategic Programme for Research in Information Technology.
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FlasiĆski, M. (2002). Automata-Based Multi-agent Model as a Tool for Constructing Real-Time Intelligent Control 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_11
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DOI: https://doi.org/10.1007/3-540-45941-3_11
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