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Explanation as Contextual

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2116))

Abstract

There is a view that all explanation is contextual. An explanation answers questions that are relevant in a context and that are open to solution in that context. In another context, there might be no such questions, or they might not be open to solution. Van Fraassen has used a contextual account of explanation to argue in favour of what he calls ‘constructive empiricism’ and against what he calls ‘scientific realism’. On his account, both empiricists and realists search for theories that are empirically adequate. These will explain the relevant observable phenomena, but differ on the unobservable phenomena, for example quantum states. For the realist, science aims to provide a literally true account of the unobservables. For the empiricist, science aims at no more than empirical adequacy. One argument in the realist armoury is the following. The best philosophical explanation of how the best scientific explanation does explain the observables requires that it is true about the unobservables. An empiricist response to this is that all explanation is contextual, so there is no globally best scientific explanation. The present paper explores the empiricist line by reference to formal learning theory and a logic of questions. Van Fraassen’s contextual theory of explanation does not employ learning theory. The present paper is a step towards a more developed theory, differing from van Fraassen in some respects.

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© 2001 Springer-Verlag Berlin Heidelberg

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Young, R.A. (2001). Explanation as Contextual. In: Akman, V., Bouquet, P., Thomason, R., Young, R. (eds) Modeling and Using Context. CONTEXT 2001. Lecture Notes in Computer Science(), vol 2116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44607-9_29

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  • DOI: https://doi.org/10.1007/3-540-44607-9_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42379-9

  • Online ISBN: 978-3-540-44607-1

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