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Intelligent Systems Annotated Bibliography and SurveyPart I. Systems with Intelligent Controllers

Published

Author(s)

Alex Meystel

Abstract

In Part I of this report, a place of Intelligent Control in the variety of systems is discussed. In many cases it amounts to transforming the system into an intelligent system. Intelligent Systems employ principles of information generalization, semiotic closure and multiresolutional (multigranular, multiscale) representation similar to the one applied in RCS architecture. The annotated bibliography and survey of literature demonstrate that the number of devices and principles that can be associated with intelligent control much exceeds those applied in three broadly used components: fuzzy representation, neural networks, and genetic algorithms. Using these components only doesn't specify all variety of possible technical solutions. A broad multiplicity of existing intelligent systems demonstrate human-like capabilities of dealing with uncertainties: like in expert system and knowledge bases equipped controllers, multi-agent behavior based controllers, game-theoretic controllers, and others. This annotated bibliography and survey prove that intelligent controllers can be better recognized by taking in account the computational tools they use and by the architecture, within which these tools are engrained. This issue will be addressed in more detail in the second part of the survey.
Citation
NIST Interagency/Internal Report (NISTIR) - 6567
Report Number
6567

Keywords

fuzzy, generalization, intelligence, intelligent control, intelligent system, multigranular, multiresolution, multiscale, neural

Citation

Meystel, A. (2002), Intelligent Systems Annotated Bibliography and SurveyPart I. Systems with Intelligent Controllers, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=821653 (Accessed June 15, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created March 29, 2002, Updated November 21, 2008