Automating Path Analysis for Building Causal Models from Data

Automating Path Analysis for Building Causal Models from Data (1993)

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by Paul R. Cohen , Adam Carlson , Lisa Ballesteros , Robert St. Amant

Venue:	Proc. 10th Intl. Conf. on Machine Learning
Citations:	7 - 2 self

BibTeX

@INPROCEEDINGS{Cohen93automatingpath,
    author = {Paul R. Cohen and Adam Carlson and Lisa Ballesteros and Robert St. Amant},
    title = {Automating Path Analysis for Building Causal Models from Data},
    booktitle = {Proc. 10th Intl. Conf. on Machine Learning},
    year = {1993},
    pages = {57--64},
    publisher = {Morgan Kaufmann Publishers, Inc}
}

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Abstract

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.

Citations

384	Causation, prediction and search - Spirtes, Glymour, et al. - 1993
120	Trial by fire: Understanding the design requirements for agents in complex environments - Cohen, Greenberg, et al. - 1989
61	Discovering Causal Structure - Glymour, Scheines, et al. - 1987
60	Integrating Quantitative and Qualitative Discovery in the ABACUS System - Falkenhainer, Michalski - 1990
21	Causal modeling - Asher - 1983
18	When can association graphs admit a causal interpretation - Pearl, Wermuth - 1994
15	Predicting and explaining success and task duration in the phoenix planner - Hart, Cohen - 1992
14	Domain-independent scientific function finding - Schaffer - 1990
12	A theory of inferred causation. Principles of knowledge representation and reasoning - Pearl, Verma - 1991
4	Path analysis models of an autonomous agent in a complex environment - Cohen - 1993
1	Path Analysis-A - Li - 1975