Combining Causal Bayes Nets and Cellular Automata
A Hybrid Modelling Approach to Mechanisms
Dados Bibliográficos
| ID | 8397402 |
|---|---|
| Autores | Alexander Gebharter (0000-0003-1708-2949, University of Groningen, autor correspondente), Daniel Koch (0000-0002-4539-1346, MRC Laboratory for Molecular Cell Biology, autor correspondente) |
| Ano | 2021 |
| Volume | 72 |
| Fascículo | 3 |
| Páginas | 839-864 |
| Data de publicação | 2021-09-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | The British Journal for the Philosophy of Science (JOURNAL) |
| Identificadores do periódico | ISSN: 0007-0882 • E-ISSN: 1464-3537 |
| Editora | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/bjps/axy049 |
| OpenAlex | W2887987350 |
| Idioma | EN |
| Citações recebidas | 1 |
| Referências citadas | 28 |
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.
Bayes' theorem · Bayesian probability · Causal model · Cellular automaton · Cognitive science · Epistemology · Machine learning · Mechanism (biology) · Representation (politics) · Artificial Intelligence · Bayesian Modeling and Causal Inference · Computer Science · Gene Regulatory Network Analysis · Mathematics · Philosophy and History of Science · Theoretical Computer Science
Explaining the Brain
Causality
Mechanisms and the nature of causation
Explanation
Causality as a theoretical concept
Modelling mechanisms with causal cycles
What Is Going on Inside the Arrows? Discovering the Hidden Springs in Causal Models
Thinking about Mechanisms
On the Incompatibility of Dynamical Biological Mechanisms and Causal Graphs
On the Limits of Causal Modeling
A Modeling Approach for Mechanisms Featuring Causal Cycles
A Formal Framework for Representing Mechanisms
Computer Simulation and the Philosophy of Science
| Obras citantes distintas | 1 |
|---|---|
| Citações por ano | 0,25 |
| Intervalo de citações | 2022 - 2022 (1) |
| Velocidade de citação | historical |
| Altamente citado | Não |
| Tipos de citação | Neutras: 1 |