Through causal reasoning at attribution between objects, it is easy to transfer the CFMEA results into corresponding fault tree so as to realize the reliability analysis for control system.

Counterfactual thinking is a way of thinking in our everyday life, which influen ce causal reasoning and attribution.

Extraction of the qualitative features from process measurement signals with wavelet transform has been studied and a model based approach for casual reasoning is proposed to deduce the causality of the ex.

The research first explored the earliest sign of what comes close to children s counterfactual thinking,its age changing,realist error and the relationship between counterfactual thinking with theory of mind,pretence and casual reasoning.

Using maximal ancestral graph models, this paper characterizes the independencies and causal structure of the observed variables and provides an algorithm for causal inference using observational data.

A structural regression model for causal inference is established to estimate the average treatment effect under strongly ignorable treatment assignment.

This paper discusses the main difficulties faced by Kripke s causal theory of reference.

The objective imputation comes from causal theory.

The consequence study of searching the higher order information of atmospheric refraction by the hidden layer units of BP neural network;