Combining Causal Bayes Nets and Cellular Automata: A Hybrid Modelling Approach to Mechanisms

  • Alexander Gebharter
  • , Daniel Koch

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

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 article 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.

Original languageEnglish
JournalBritish Journal for the Philosophy of Science
Volume72
Issue number3
Early online date2-Aug-2018
DOIs
Publication statusPublished - Sept-2021
Externally publishedYes

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