The Ontology of Patterns in Empirical Data

Philosophy of Science 77 (5):804-814 (2010)
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Abstract

This article defends the following claims. First, for patterns exhibited in empirical data, there is no criterion on which to demarcate patterns that are physically significant and patterns that are not physically significant. I call a pattern physically significant if it corresponds to a structure in the world. Second, all patterns must be regarded as physically significant. Third, distinct patterns must be regarded as providing evidence for distinct structures in the world. Fourth, in consequence, the world must be conceived as showing all possible structures.

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James McAllister
Leiden University

Citations of this work

What distinguishes data from models?Sabina Leonelli - 2019 - European Journal for Philosophy of Science 9 (2):22.
What distinguishes data from models?Sabina Leonelli - 2019 - European Journal for Philosophy of Science 9 (2):22.
The Chemical Bond is a Real Pattern.Vanessa A. Seifert - forthcoming - Philosophy of Science:1-47.
Structural Realism, Metaphysical Unification, and the Ontology and Epistemology of Patterns.Majid Davoody Beni - 2017 - International Studies in the Philosophy of Science 31 (3):285-300.

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References found in this work

Fact, Fiction, and Forecast.Nelson Goodman - 1955 - Philosophy 31 (118):268-269.
Saving the phenomena.James Bogen & James Woodward - 1988 - Philosophical Review 97 (3):303-352.
Data and phenomena.James Woodward - 1989 - Synthese 79 (3):393 - 472.
Cosmic Confusions: Not Supporting versus Supporting Not.John D. Norton - 2010 - Philosophy of Science 77 (4):501-523.

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