@inbook{b29596615b814e7180a82262881f3945,
title = "A tutorial on learning causal influence",
abstract = "In the 1990's related research in artificial intelligence, cognitive science, and philosophy resulted in a method for learning causal relationships from passive data when we have data on at least four variables. We illustrate the method using a few simple examples. Then we present recent research showing that we can even learn something about causal relationships when we have data on only two variables.",
author = "Neapolitan, {Richard E.} and Xia Jiang",
year = "2006",
doi = "10.1007/10985687_2",
language = "English (US)",
isbn = "3540306099",
series = "Studies in Fuzziness and Soft Computing",
pages = "29--71",
editor = "Dawn Holmes and Lakhmi Jain",
booktitle = "Innovations in Machine Learning",
}