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Automating Path Analysis for Building Causal Models from Data
Machine Learning Proceedings 1993
Path analysis is a generalization of multiple linear regression that builds models with causal interpretations. It is an exploratory or discovery procedure for finding causal structure in correlational data. Recently, we have applied statistical methods such as path analysis to the problem of building models of AI programs, which are generally complex and poorly understood. For example, we built by hand a path-analytic causal model of the behavior of the Phoenix planner. Path analysis has adoi:10.1016/b978-1-55860-307-3.50014-9 dblp:conf/icml/CohenCBA93 fatcat:nzei67njkvfk3fzmiudzxrxqy4