Institute of Information Theory and Automation

You are here

Bibliography

Journal Article

Causal compositional models in valuation-based systems with examples in specific theories

Jiroušek Radim, Shenoy P. P.

: International Journal of Approximate Reasoning vol.72, 1 (2016), p. 95-112

: GA15-00215S, GA ČR

: operator of composition, causality, belief function

: 10.1016/j.ijar.2015.10.003

: http://library.utia.cas.cz/separaty/2017/MTR/jirousek-0481260.pdf

(eng): The paper shows that Pearl’s causal networks can be described using causal compositional models (CCMs) in the valuation-based systems (VBS) framework. One major advantage of using the VBS framework is that as VBS is a generalization of several uncertainty theories (e.g., probability theory, a version of possibility theory where combination is the product t-norm, Spohn’s epistemic belief theory, and Dempster–Shafer belief function theory), CCMs, initially described in probability theory, are now described in all uncertainty calculi that fit in the VBS framework. We describe conditioning and interventions in CCMs.

: AH

: 50201

2019-01-07 08:39