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Knowledge Elicitation Via Extension of Fragmental Knowledge Pieces
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SYSNO ASEP 0328657 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Knowledge Elicitation Via Extension of Fragmental Knowledge Pieces Title Získávání znalosti založené na rozšíření zlomkové znalosti Author(s) Kárný, Miroslav (UTIA-B) RID, ORCID Source Title Proceedings of the European Control Conference 2009. - Budapest : European Union Control Association, 2009 - ISBN 978-963-311-369-1 Pages s. 1571-1575 Number of pages 5 s. Publication form www - www Action European Control Conference 2009 Event date 23.08.2009-26.08.2009 VEvent location Budapest Country HU - Hungary Event type WRD Language eng - English Country HU - Hungary Keywords knowledge elicitation ; Bayesian paradigm Subject RIV BB - Applied Statistics, Operational Research R&D Projects GA102/08/0567 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation The paper describes an advanced methodology of automatic knowledge elicitation. It merges fragmental uncertain knowledge pieces into the prior distribution of unknown parameter of a probabilistic model of a dynamic system. Careful knowledge elicitation helps in achieving as bump-less start of model-based controllers as possible. It is also important when observed data are poorly informative, which is a typical situation in closed control loops. Rigorous use of the Bayesian paradigm to the knowledge elicitation forms the essence of the methodology. Unlike former solutions, it can handle fragmental and incompletely compatible knowledge pieces in a systematic way. The description of the methodology dominates the paper and just an illustrative example is presented. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2010
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