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Conditioning and Flexibility in Compositional Models

SYSNO ASEP	0364532
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Conditioning and Flexibility in Compositional Models
Author(s)	Kratochvíl, Václav (UTIA-B)_{RID, ORCID}
Source Title	Proceedings of 14th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty CJS 2011. - Praha : Matfyzpress, 2011 / Barták Roman - ISBN 978-80-7378-179-8
Pages	s. 66-73
Number of pages	8 s.
Action	Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /14./
Event date	18.09.2011-21.09.2011
VEvent location	Hejnice
Country	CZ - Czech Republic
Event type	WRD
Language	eng - English
Country	CZ - Czech Republic
Keywords	compositional models ; conditioning ; flexibility
Subject RIV	BA - General Mathematics
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	GEICC/08/E010 GA ČR - Czech Science Foundation (CSF)
	GA201/09/1891 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
Annotation	Reasoning by cases or assumptions is a common form of human reasoning. In case of probability reasoning, this is modeled by conditioning of a multidimensional probability distribution. Compositional models are defined as a multidimensional distributions assembled from a (so called generating) sequence of lowdimensional probability distributions, with the help of operators of composition. In this case, the conditioning process can be viewed as a transformation of one generating sequence into another one. It appears that the conditioning process is simple when conditioning variable appears in the argument of the first distribution of the corresponding generating sequence. That is why we introduce the so called flexible sequences. Flexible sequences are those, which can be reordered in many ways that each variable can appears among arguments of the first distribution. In this paper, we study the problem of flexibility in light of the very recent solution of the equivalence problem.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2012

Number of the records: 1