Causal Mechanism-Based Model Constructions
Abstract
We propose a framework for building graphical causal model that is based on the concept of causal mechanisms. Causal models are intuitive for human users and, more importantly, support the prediction of the effect of manipulation. We describe an implementation of the proposed framework as an interactive model construction module, ImaGeNIe, in SMILE (Structural Modeling, Inference, and Learning Engine) and in GeNIe (SMILE's Windows user interface).
Cite
Text
Lu et al. "Causal Mechanism-Based Model Constructions." Conference on Uncertainty in Artificial Intelligence, 2000.Markdown
[Lu et al. "Causal Mechanism-Based Model Constructions." Conference on Uncertainty in Artificial Intelligence, 2000.](https://mlanthology.org/uai/2000/lu2000uai-causal/)BibTeX
@inproceedings{lu2000uai-causal,
title = {{Causal Mechanism-Based Model Constructions}},
author = {Lu, Tsai-Ching and Druzdzel, Marek J. and Leong, Tze-Yun},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {2000},
pages = {353-362},
url = {https://mlanthology.org/uai/2000/lu2000uai-causal/}
}