Qualitative Analysis of Causal Graphs with Equilibrium Type-Transition
Abstract
In this paper, we present a method to qualitatively compute the global characteristics of causal graphs by the analysis of the underlying dynamical systems, rather than traditional qualitative simulations which suffer from intractability and difficulty in understanding their simulation results. The key idea is to translate a given causal graph into an autonomous dynamical system and to analyze equilibrium points in the system. The method requires no numerical information and it has the advantage of computing the conditions under which a certain equilibrium type holds and when equilibrium type-transitions occur. The
Cite
Text
Kurumatani and Nakamura. "Qualitative Analysis of Causal Graphs with Equilibrium Type-Transition." International Joint Conference on Artificial Intelligence, 1997.Markdown
[Kurumatani and Nakamura. "Qualitative Analysis of Causal Graphs with Equilibrium Type-Transition." International Joint Conference on Artificial Intelligence, 1997.](https://mlanthology.org/ijcai/1997/kurumatani1997ijcai-qualitative/)BibTeX
@inproceedings{kurumatani1997ijcai-qualitative,
title = {{Qualitative Analysis of Causal Graphs with Equilibrium Type-Transition}},
author = {Kurumatani, Koichi and Nakamura, Mari},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1997},
pages = {542-548},
url = {https://mlanthology.org/ijcai/1997/kurumatani1997ijcai-qualitative/}
}