Method, device and system for estimating causality among observed variables

Abstract

A method, device and system for estimating causality among observed variables are provided. The method for estimating causality among observed variables may include: in response to receiving expert knowledge for at least part of a plurality of observed variables, converting the expert knowledge into a constraint that needs to be satisfied by a causality objective function for the plurality of observed variables; and estimating the causality among the observed variables, by using observed data of the observed variables to optimally solve, through sparse causal reasoning, the causality objective function under a constraint of a directed acyclic graph and the constraint that needs to be satisfied and converted from the expert knowledge. With embodiments of the present disclosure, it is possible to incorporate the expert knowledge into the causal reasoning process in a simple manner to sufficiently utilize the expert knowledge and obtain a more precise causality.

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