0364532 20240103195545.420111101235959.9 8 s. cav_un_epca*0367897978-80-7378-179-866-73PrahaMatfyzpress2011BartákRoman compositional models conditioning flexibility cav_un_auth*0216188 Kratochvíl Václav Matematická teorie rozhodování Department of Decision Making Theory MTR MTR UTIA-B Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2011/MTR/kratochvil-conditioning and flexibility in compositional models.pdf 1M0572 GA MŠk cav_un_auth*0001814 GEICC/08/E010 GA ČR cav_un_auth*0241637 GA201/09/1891 GA ČR cav_un_auth*0253175 2C06019 GA MŠk CZ cav_un_auth*0216518 CEZ:AV0Z10750506 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. cav_un_auth*0274515 Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /14./ Hejnice 18.09.2011-21.09.2011 CZ 2012 BA http://hdl.handle.net/11104/0199998 2011 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 Barták Roman 340