1 research outputs found
Causal Mechanism-based Model Construction
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).Comment: Appears in Proceedings of the Sixteenth Conference on Uncertainty in
Artificial Intelligence (UAI2000