Causes and Explanations: A Structural-Model Approach: Part 1: Causes
Abstract
We propose a new definition of actual causes, using structural equations to model counterfactuals.We show that the definitions yield a plausible and elegant account ofcausation that handles well examples which have caused problems forother definitions and resolves major difficulties in the traditionalaccount. In a companion paper, we show how the definition of causality can beused to give an elegant definition of (causal) explanation.
Cite
Text
Halpern and Pearl. "Causes and Explanations: A Structural-Model Approach: Part 1: Causes." Conference on Uncertainty in Artificial Intelligence, 2001.Markdown
[Halpern and Pearl. "Causes and Explanations: A Structural-Model Approach: Part 1: Causes." Conference on Uncertainty in Artificial Intelligence, 2001.](https://mlanthology.org/uai/2001/halpern2001uai-causes/)BibTeX
@inproceedings{halpern2001uai-causes,
title = {{Causes and Explanations: A Structural-Model Approach: Part 1: Causes}},
author = {Halpern, Joseph Y. and Pearl, Judea},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {2001},
pages = {194-202},
url = {https://mlanthology.org/uai/2001/halpern2001uai-causes/}
}