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Causes as explanations: A critique

dc.contributor.authorKim, Jaegwonen_US
dc.date.accessioned2006-09-11T13:55:19Z
dc.date.available2006-09-11T13:55:19Z
dc.date.issued1981-12en_US
dc.identifier.citationKim, Jaegwon; (1981). "Causes as explanations: A critique." Theory and Decision 13(4): 293-309. <http://hdl.handle.net/2027.42/43844>en_US
dc.identifier.issn1573-7187en_US
dc.identifier.issn0040-5833en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/43844
dc.description.abstractThis paper offers a critique of the view that causation can be analyzed in terms of explanation. In particular, the following points are argued: (1) a genuine explanatory analysis of causation must make use of a fully epistemological-psychological notion of explanation; (2) it is unlikely that the relatively clear-cut structure of the causal relation can be captured by the relatively unstructured relation of explanation; (3) the explanatory relation does not always parallel the direction of causation; (4) certain difficulties arise for any attempt to construct a nonrelativistic relation of causation from the essentially relativistic relation of explanation; and (5) to analyze causation as explanation is to embrace a form of “causal idealism”, the view that causal connections are not among the objective features of the world. The paper closes with a brief discussion of the contrast between the two fundamentally opposed viewpoints about causality, namely causal idealism and causal realism.en_US
dc.format.extent914502 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; D. Reidel Publishing Company ; Springer Science+Business Mediaen_US
dc.subject.otherMethodology of the Social Sciencesen_US
dc.subject.otherEconomics / Management Scienceen_US
dc.subject.otherEconomics/Management Science, Generalen_US
dc.subject.otherOperation Research/Decision Theoryen_US
dc.titleCauses as explanations: A critiqueen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelSocial Sciences (General)en_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelPhilosophyen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumThe University of Michigan, Michigan, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/43844/1/11238_2004_Article_BF00000001.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00126965en_US
dc.identifier.sourceTheory and Decisionen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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