Measurement and Computational Skepticism

Noûs 51 (4):832-854 (2017)
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Abstract

Putnam and Searle famously argue against computational theories of mind on the skeptical ground that there is no fact of the matter as to what mathematical function a physical system is computing: both conclude (albeit for somewhat different reasons) that virtually any physical object computes every computable function, implements every program or automaton. There has been considerable discussion of Putnam's and Searle's arguments, though as yet there is little consensus as to what, if anything, is wrong with these arguments. In the present paper we show that an analogous line of reasoning can be raised against the numerical measurement (i.e., numerical representation) of physical magnitudes, and we argue that this result is a reductio ad absurdum of the challenge to computational skepticism. We then use this reductio to get clearer about both (i) what's wrong with Putnam's and Searle's arguments against computationalism, and (ii) what can be learned about both computational implementation and numerical measurement from the shortcomings of both sorts of skeptical argument.

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Author Profiles

Eli Dresner
Tel Aviv University
Robert J. Matthews
Rutgers University - New Brunswick

Citations of this work

The physics of implementing logic: Landauer's principle and the multiple-computations theorem.Meir Hemmo & Orly Shenker - 2019 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 68:90-105.
The philosophy of computer science.Raymond Turner - 2013 - Stanford Encyclopedia of Philosophy.

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References found in this work

Vision.David Marr - 1982 - W. H. Freeman.
A computational foundation for the study of cognition.David Chalmers - 2011 - Journal of Cognitive Science 12 (4):323-357.
The Language of Thought.J. A. Fodor - 1978 - Critica 10 (28):140-143.

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