Automata-Based Multi-agent Model as a Tool for Constructing Real-Time Intelligent Control Systems View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2002

AUTHORS

Mariusz Flasiński

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. More... »

PAGES

103-110

References to SciGraph publications

Book

TITLE

From Theory to Practice in Multi-Agent Systems

ISBN

978-3-540-43370-5
978-3-540-45941-5

Author Affiliations

From Grant

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-45941-3_11

DOI

http://dx.doi.org/10.1007/3-540-45941-3_11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1010996736


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