Modeling, Truth, and Philosophy

Metaphilosophy 43 (3):257-274 (2012)
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Abstract

Knowledge requires truth, and truth, we suppose, involves unflawed representation. Science does not provide knowledge in this sense but rather provides models, representations that are limited in their accuracy, precision, or, most often, both. Truth as we usually think of it is an idealization, one that serves wonderfully in most ordinary applications, but one that can terribly mislead for certain issues in philosophy. This article sketches how this happens for five important issues, thereby showing how philosophical method must take into account the idealized nature of our familiar conception of truth

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Citations of this work

Perspectivism and Special Relativity.Mahdi Khalili - 2021 - Teorie Vědy / Theory of Science 43 (2):191-217.
Referential and Perspectival Realism.Paul Teller - 2018 - Spontaneous Generations 9 (1):151-164.
Modeling Truth.Paul Teller - 2017 - Philosophia 45 (1):143-161.

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References found in this work

Vagueness.Timothy Williamson - 1996 - New York: Routledge.
Functional analysis.Robert E. Cummins - 1975 - Journal of Philosophy 72 (November):741-64.
Scientific perspectivism.Ronald N. Giere - 2006 - Chicago: University of Chicago Press.
Science without laws.Ronald N. Giere - 1999 - Chicago: University of Chicago Press.
Vagueness.Timothy Williamson - 1995 - British Journal for the Philosophy of Science 46 (4):589-601.

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