Real patterns and indispensability.

While scientific inquiry crucially relies on the extraction of patterns from data, we still have a far from perfect understanding of the metaphysics of patterns—and, in particular, of what makes a pattern real. In this paper we derive a criterion of real-patternhood from the notion of conditional Ko...

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Publicado en:Synthese Vol. 198; no. 5; pp. 4315 - 4331
Autores principales: Suñé, Abel, Martínez, Manolo
Formato: Artículo
Publicado: Springer Nature May2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Suñé, Abel
          Martínez, Manolo
        affil: LOGOS Research Group in Analytic Philosophy, Barcelona Institute of Analytic Philosophy, Department of Philosophy, Universitat de Barcelona, Montalegre, 6, 08001, Barcelona, Catalonia
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        Oxford University Press
        Patternmaking
        Scientific method
        Kolmogorov complexity
        Compressibility
        Metaphysics
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          Oxford University Press
          Patternmaking
          Scientific method
          Kolmogorov complexity
          Compressibility
          Metaphysics
      keyword:
        Algorithmic information theory
        Metaphysics of science
        Real patterns
        Structure functions
      ab: While scientific inquiry crucially relies on the extraction of patterns from data, we still have a far from perfect understanding of the metaphysics of patterns—and, in particular, of what makes a pattern real. In this paper we derive a criterion of real-patternhood from the notion of conditional Kolmogorov complexity. The resulting account belongs to the philosophical tradition, initiated by Dennett (J Philos 88(1):27–51, 1991), that links real-patternhood to data compressibility, but is simpler and formally more perspicuous than other proposals previously defended in the literature. It also successfully enforces a non-redundancy principle, suggested by Ladyman and Ross (Every thing must go: metaphysics naturalized, Oxford University Press, Oxford, 2007), that aims to exclude from real-patternhood those patterns that can be ignored without loss of information about the target dataset, and which their own account fails to enforce.
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    language: English
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