Qualitative Analysis of Causal Graphs with Equilibrium Type-Transition
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Diagnosis and Qualitative Reasoning. Pages 542-547.
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 method is firmly based on mathematical grounds, and the result is guaranteed to be valid for linear systems under the specified conditions.
@inproceedings{ijcai1997p80,
title = {Qualitative Analysis of Causal Graphs with Equilibrium Type-Transition},
author = {Kurumatani, Koichi and Nakamura, Mari},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {542--547},
year = {1997},
note = {Diagnosis and Qualitative Reasoning},
url = {https://ijcai.org/proceedings/1997/80},
}
TY - CPAPER TI - Qualitative Analysis of Causal Graphs with Equilibrium Type-Transition AU - Kurumatani, Koichi AU - Nakamura, Mari T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 542 EP - 547 UR - https://ijcai.org/proceedings/1997/80 ER -Copied
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