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A Proposal on Discovering Causal Structures in Technical Systems by Means of Interventions

 
: Rehak, Josephine

:
Fulltext urn:nbn:de:0011-n-6383752 (281 KByte PDF)
MD5 Fingerprint: 2778514d70408f0ebdc6b0761c8056d4
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Created on: 28.7.2021


Beyerer, Jürgen (Ed.); Zander, Tim (Ed.):
Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory 2020. Proceedings : 27th to the 31st of July 2020, Karlsruhe
Karlsruhe: KIT Scientific Publishing, 2021 (Karlsruher Schriften zur Anthropomatik 51)
ISBN: 978-3-7315-1091-8
DOI: 10.5445/KSP/1000130397
pp.91-105
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation and Institute for Anthropomatics, Vision and Fusion Laboratory (Joint Workshop) <2020, Karlsruhe>
English
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

Abstract
Causal Discovery has become an area of high interest for researchers. It has lead to great advances in medicine, in the social sciences and in genetics. But uptil now, it is hardly used to identify causal relations in technical systems. This paper presents the basic building blocks for in-depth research. This paper reviews established causal discovery methods and causal models. In contrast to existing surveys of this domain, we focus on the causal discovery methods using interventions. Based thereon, we propose the idea of a promising interventional discovery approach for technical systems. It takes advantage of not only direct, but also indirect causal relationships, which might improve the learning process of causal structures.

: http://publica.fraunhofer.de/documents/N-638375.html