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Causal graph

Known as: Causal graphs 
In statistics, econometrics, epidemiology, genetics and related disciplines, causal graphs (also known as path diagrams, causal Bayesian networks or… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Automated planning is known to be computationally hard in the general case. Propositional planning is PSPACE-complete and first… 
2015
2015
Constraint satisfaction techniques have been used in Artificial Intelligence planning for many years. As with the original… 
2009
2009
In well-defined domains such as Physics, Mathematics, and Chemistry, solutions to a posed problem can objectively be classified… 
2007
2007
Political scientists tend to think about causality in terms of mechanisms. In this paper we argue that non-parametric structural… 
2006
2006
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov… 
2001
2001
Abstract: Supervision of highly automated processes is an interdisciplinary research area. Knowledge in the fields of automation…