Causality and Intervention in Business Process Management

0507223 - ÚTIA 2020 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Bína, V. - Jiroušek, Radim
Causality and Intervention in Business Process Management.
Proceedings of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty. Ostrava: University of Ostrava, 2017 - (Novák, V.; Inuiguchi, M.; Štěpnička, M.), s. 15-24. ISBN 978-80-7464-932-5.
[Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /20./. Pardubice (CZ), 17.09.2017-20.09.2017]
Grant ostatní: GA ČR(CZ) GA15-00215S
Institucionální podpora: RVO:67985556
Klíčová slova: Compositional model * Operator of composition, * Causality * Conditioning * Intervention
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2019/MTR/jirousek-0507223.pdf

The paper presents an algebraic approach to the modeling of causality in systems of stochastic variables. The methodology is based on an operator of a composition that provides the possibility of composing a multidimensional distribution from low-dimensional building blocks taking advantage of the dependence structure of the problem variables. The authors formally define and demonstrate on a hypothetical example a surprisingly elegant unifying approach to conditioning by a single variable and the evaluation of the effect of an intervention. Both operations are realized by the composition with a degenerated distribution and differ only in the sequence in which the operator of the composition is performed.
Trvalý link: http://hdl.handle.net/11104/0298570