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Supra-Bayesian Approach to Merging of Incomplete and Incompatible Data
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SYSNO ASEP 0352234 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Supra-Bayesian Approach to Merging of Incomplete and Incompatible Data Author(s) Sečkárová, Vladimíra (UTIA-B) RID Source Title Decision Making with Multiple Imperfect Decision Makers. - Prague : Institute of Information Theory and Automation Academy of Sciences of the Czech Republic, 2010 / Guy Tatiana V. ; Karny Miroslav ; Wolpert David - ISBN 978-80-903834-5-6 Pages s. 1-6 Number of pages 6 s. Action 24th Annual Conference on Neural Information Processing Systems Event date 06.12.2010-11.12.2010 VEvent location Whistler, B.C. Canada Country CA - Canada Event type WRD Language eng - English Country CZ - Czech Republic Keywords Bayesian decision making ; Supra-Bayesian approach ; sharing of probabilistic information Subject RIV BC - Control Systems Theory R&D Projects GA102/08/0567 GA ČR - Czech Science Foundation (CSF) 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation In practice we often need to take every available information into account. Unfortunately the pieces of information given by different sources are often incomplete (with respect to what we are interested in) and have different forms. In this work we try to solve the problem of treating such data in order to get an optimal merger of them. We present a systematic and unified way how to combine the pieces of information by using a Supra-Bayesian approach and other mathematical tools, e.g. Kerridge inaccuracy, maximum entropy principle. To show how the proposed method works a simple example is given at the end of the work. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2011
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