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Modeling Causal Processes

Otsuka, Jun and Hayashi, Tomoyuki and Yoshii, Tatsuya and Saigo, Hayato (2025) Modeling Causal Processes. [Preprint]

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Abstract

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.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Otsuka, Junjunotk@gmail.com0000-0003-4774-9740
Hayashi, Tomoyukihayashi.tomoyuki.66m@st.kyoto-u.ac.jp0009-0008-2894-8561
Yoshii, Tatsuyayoshii.tatsuya.74u@st.kyoto-u.ac.jp0000-0003-1968-1814
Saigo, Hayatoharmoniahayato@gmail.com0000-0002-4209-352X
Keywords: process causation, mechanism, string diagrams, Markov categories, principle of common cause
Subjects: General Issues > Causation
Depositing User: Jun Otsuka
Date Deposited: 19 May 2025 13:03
Last Modified: 19 May 2025 13:03
Item ID: 25367
Subjects: General Issues > Causation
Date: 2025
URI: https://philsci-archive.pitt.edu/id/eprint/25367

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