Modeling causal processes.
We offer a category-theoretic representation of the process theory of causality. The new formalism allows process theorists to (i) explicate their explanatory strategies (etiological and constitutive explanations) using the compositional features of string diagrams; (ii) probabilistically evaluate c...
| Publicado en: | Synthese Vol. 206; no. 2; pp. 1 - 26 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Aug2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=187081526&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 187081526 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Aug2025 vid: 206 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 187081526 10.1007/s11229-025-05084-6 ppf: 1 ppct: 25 formats: fmt: – @attributes: type: T – @attributes: type: P size: 2.6MB tig: atl: Modeling causal processes. aug: au: Otsuka, Jun Hayashi, Tomoyuki Yoshii, Tatsuya Saigo, Hayato affil: https://ror.org/02kvbt343 Faculty of Social Informatics, Zen University, Kanagawa, Japan https://ror.org/02kpeqv85 Department of Philosophy, Kyoto University, Kyoto, Japan sug: keyword: Bayesian Networks Category theory Principle of common cause Process theory of causality String diagrams ab: We offer a category-theoretic representation of the process theory of causality. The new formalism allows process theorists to (i) explicate their explanatory strategies (etiological and constitutive explanations) using the compositional features of string diagrams; (ii) probabilistically evaluate causal effects through the categorical notion of functor; (iii) address the problem of explanatory irrelevance via diagram surgery; and (iv) provide a theoretical explanation for the difference between conjunctive and interactive forks. We also claim that the fundamental building blocks of the process theory—namely processes, interactions, and events—can be modeled using three types of morphisms. Overall, categorical modeling demonstrates that the philosophical theory of process causality possesses scientific rigor and expressive power comparable to those of its event-based counterparts, such as causal Bayes nets. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Synthese is a copyright of Springer, 2025. All Rights Reserved. item: Synthese holder: Springer Nature dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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