bibtype	C - Conference Paper (international conference)
ARLID	0364532
utime	20240103195545.4
mtime	20111101235959.9
title (primary) (eng)	Conditioning and Flexibility in Compositional Models
specification	page_count 8 s.
serial	ARLID cav_un_epca*0367897 ISBN 978-80-7378-179-8 title Proceedings of 14th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty CJS 2011 page_num 66-73 publisher place Praha name Matfyzpress year 2011 editor name1 Barták name2 Roman
keyword	compositional models
keyword	conditioning
keyword	flexibility
author (primary)	ARLID cav_un_auth*0216188 name1 Kratochvíl name2 Václav full_dept (cz) Matematická teorie rozhodování full_dept (eng) Department of Decision Making Theory department (cz) MTR department (eng) MTR institution UTIA-B full_dept Department of Decision Making Theory fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source	url http://library.utia.cas.cz/separaty/2011/MTR/kratochvil-conditioning and flexibility in compositional models.pdf
cas_special	project project_id 1M0572 agency GA MŠk ARLID cav_un_auth*0001814 project project_id GEICC/08/E010 agency GA ČR ARLID cav_un_auth*0241637 project project_id GA201/09/1891 agency GA ČR ARLID cav_un_auth*0253175 project project_id 2C06019 agency GA MŠk country CZ ARLID cav_un_auth*0216518 research CEZ:AV0Z10750506 abstract (eng) 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. action ARLID cav_un_auth*0274515 name Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /14./ place Hejnice dates 18.09.2011-21.09.2011 country CZ reportyear 2012 RIV BA permalink http://hdl.handle.net/11104/0199998 arlyear 2011 mrcbU63 cav_un_epca*0367897 Proceedings of 14th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty CJS 2011 978-80-7378-179-8 66 73 Praha Matfyzpress 2011 mrcbU67 Barták Roman 340