Potochnik, Angela. Levels of Explanation Reconceived
2010, Philosophy of Science 77(1): 59-72.
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Added by: Nick Novelli
Abstract: A common argument against explanatory reductionism is that higher-level explanations are sometimes or always preferable because they are more general than reductive explanations. Here I challenge two basic assumptions that are needed for that argument to succeed. It cannot be assumed that higher-level explanations are more general than their lower-level alternatives or that higher-level explanations are general in the right way to be explanatory. I suggest a novel form of pluralism regarding levels of explanation, according to which explanations at different levels are preferable in different circumstances because they offer different types of generality, which are appropriate in different circumstances of explanation.Egan, Frances. Computational models: a modest role for content2010, Studies in History and Philosophy of Science Part A 41(3): 253-259.-
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Added by: Nick Novelli
Abstract: The computational theory of mind construes the mind as an information-processor and cognitive capacities as essentially representational capacities. Proponents of the view claim a central role for representational content in computational models of these capacities. In this paper I argue that the standard view of the role of representational content in computational models is mistaken; I argue that representational content is to be understood as a gloss on the computational characterization of a cognitive process.Comment: Good paper about the relation of representation and content to computation. Best suited to higher-level courses on the subject.
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Comment: An interesting anti-anti-reductionist article. Would be useful in a discussion of explanatory power or levels of explanation in a philosophy of science course.