Doxastic logic based on causal structures.
Belief revision and causality play an important role in many applications, typically, in the study of database update mechanisms and data dependence. New contributions on causal reasoning are continuously added to the pioneering works by Pearl, Halpern and others. Though there is a long tradition of...
| Publicado en: | Synthese Vol. 205; no. 3; pp. 1 - 33 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Mar2025
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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=183512651&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 183512651 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Mar2025 vid: 205 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 183512651 10.1007/s11229-025-04946-3 ppf: 1 ppct: 32 formats: fmt: – @attributes: type: T – @attributes: type: P size: 7.8MB tig: atl: Doxastic logic based on causal structures. aug: au: Xie, Kaibo He, Qingyu affil: https://ror.org/033vjfk17 School of Philosophy, Wuhan University, Wuhan, China https://ror.org/03cve4549 Department of Philosophy, Tsinghua University, Beijing, China sug: keyword: Causal model Causal reasoning Conditional doxastic logic D-separation Philosophy and Religious Studies Philosophy Plausibility model ab: Belief revision and causality play an important role in many applications, typically, in the study of database update mechanisms and data dependence. New contributions on causal reasoning are continuously added to the pioneering works by Pearl, Halpern and others. Though there is a long tradition of modeling belief revision in philosophical logic, the entanglement between belief revision and causal reasoning has not yet been fully studied from a logical view. In this paper, we propose a new formal logic for doxastic causal reasoning. With examples, we illustrate that our framework explains rational belief revision based on causal reasoning. We also show that our framework can be used to account for conditionals in many examples which are problematic for the traditional causal modelling approach. We further study the general properties of the logic and its relations with causal Bayesian networks. A complete axiomatization, as well as a decidability result, will be given. In addition, we believe our work will shed light on understanding the relation between qualitative and quantitative approaches toward (causal) dependence in general. 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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