Computation and Causation.
The computer’s effect on our understanding of causation has been enormous. By the mid-1980s, philosophical and social-scientific work on the topic had left us with (1) no reasonable reductive account of causation and (2) a class of statistical causal models tied to linear regression. At this time, c...
| Publicado en: | Metaphilosophy Vol. 33; no. 1/2; pp. 158 - 181 |
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| Formato: | Artículo |
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Wiley-Blackwell
Jan2002
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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=6534156&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 6534156 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00261068 9OM jtl: Metaphilosophy issn: 00261068 maglogo: Y pubinfo: dt: Jan2002 vid: 33 iid: 1/2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 6534156 10.1111/1467-9973.00223 ppf: 158 ppct: 23 formats: fmt: @attributes: type: P size: 567KB tig: atl: Computation and Causation. aug: au: Scheines, Richard su: Bayesian analysis Causation (Philosophy) Theory of knowledge sug: subj: Bayesian analysis Causation (Philosophy) Theory of knowledge ab: The computer’s effect on our understanding of causation has been enormous. By the mid-1980s, philosophical and social-scientific work on the topic had left us with (1) no reasonable reductive account of causation and (2) a class of statistical causal models tied to linear regression. At this time, computer scientists were attacking the problem of equipping robots with models of the external that included probabilistic portrayals of uncertainty. To solve the problem of efficiently storing such knowledge, they introduced Bayes Networks and directed graphs. By attaching a causal interpretation to Bayes Networks, the philosophy of causation changed dramatically. We are now able to be extremely general about how causal structure connects to data, and systematic about when causal structures are empirically indistinguishable. In this essay I try to motivate and describe this synthesis. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Metaphilosophy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Metaphilosophy holder: Wiley-Blackwell dt: @attributes: year: 2002 holdings: @attributes: islocal: N |
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