Imperial College London
Alternate

DrChristianOnof

Faculty of Engineering, Department of Civil and Environmental Engineering

Reader in Stochastic Environmental Systems
 
 
 
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c.onof

 
 
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Location

 

410Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Koutsoyiannis:2022:10.1098/rspa.2021.0835,
author = {Koutsoyiannis, D and Onof, C and Christofides, A and Kundzewicz, ZW},
doi = {10.1098/rspa.2021.0835},
journal = {Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences},
title = {Revisiting causality using stochastics: 1. theory},
url = {http://dx.doi.org/10.1098/rspa.2021.0835},
volume = {478},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Causality is a central concept in science, in philosophy and in life. However, reviewing various approaches to it over the entire knowledge tree, from philosophy to science and to scientific and technological applications, we locate several problems, which prevent these approaches from defining sufficient conditions for the existence of causal links. We thus choose to determine necessary conditions that are operationally useful in identifying or falsifying causality claims. Our proposed approach is based on stochastics, in which events are replaced by processes. Starting from the idea of stochastic causal systems, we extend it to the more general concept of hen-or-egg causality, which includes as special cases the classic causal, and the potentially causal and anti-causal systems. Theoretical considerations allow the development of an effective algorithm, applicable to large-scale open systems, which are neither controllable nor repeatable. The derivation and details of the algorithm are described in this paper, while in a companion paper we illustrate and showcase the proposed framework with a number of case studies, some of which are controlled synthetic examples and others real-world ones arising from interesting scientific problems.
AU  - Koutsoyiannis,D
AU  - Onof,C
AU  - Christofides,A
AU  - Kundzewicz,ZW
DO  - 10.1098/rspa.2021.0835
PY  - 2022///
SN  - 1364-5021
TI  - Revisiting causality using stochastics: 1. theory
T2  - Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
UR  - http://dx.doi.org/10.1098/rspa.2021.0835
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000803587400002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://royalsocietypublishing.org/doi/10.1098/rspa.2021.0835
UR  - http://hdl.handle.net/10044/1/98569
VL  - 478
ER  -
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