Combining causal Bayes nets and cellular automata: A hybrid modelling approach to mechanisms

Alexander Gebharter
University of Groningen
Daniel Koch
King's College London
Causal Bayes nets (CBNs) can be used to model causal relationships up to whole mechanisms. Though modelling mechanisms with CBNs comes with many advantages, CBNs might fail to adequately represent some biological mechanisms because—as Kaiser (2016) pointed out—they have problems with capturing relevant spatial and structural information. In this paper we propose a hybrid approach for modelling mechanisms that combines CBNs and cellular automata. Our approach can incorporate spatial and structural information while, at the same time, it comes with all the merits of a CBN representation of mechanisms.
Keywords philosophy of science  philosophy of biology  systems biology  causation  modeling  simulation  cellular automata  Bayesian networks  mechanisms
Categories (categorize this paper)
DOI 10.1093/bjps/axy049
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

Our Archive

Upload a copy of this paper     Check publisher's policy     Papers currently archived: 35,423
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

No references found.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Another Problem with RBN Models of Mechanisms.Alexander Gebharter - 2016 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 31 (2):177-188.
A Formal Framework for Representing Mechanisms?Alexander Gebharter - 2014 - Philosophy of Science 81 (1):138-153.
Causal Graphs and Biological Mechanisms.Alexander Gebharter & Marie I. Kaiser - 2014 - In Marie I. Kaiser, Oliver Scholz, Daniel Plenge & Andreas Hüttemann (eds.), Explanation in the special sciences: The case of biology and history. Dordrecht: Springer. pp. 55-86.
Causal Exclusion and Causal Bayes Nets.Alexander Gebharter - 2017 - Philosophy and Phenomenological Research 95 (2):353-375.
Difference Mechanisms: Explaining Variation with Mechanisms.James Tabery - 2009 - Biology and Philosophy 24 (5):645-664.


Added to PP index

Total downloads
22 ( #278,992 of 2,284,957 )

Recent downloads (6 months)
22 ( #18,932 of 2,284,957 )

How can I increase my downloads?

Monthly downloads

My notes

Sign in to use this feature