Inferential power, formalisms, and scientific models

Abstract

Scientific models need to be investigated if they are to provide valuable information about the systems they represent. Surprisingly, the epistemological question of what enables this investigation has hardly been investigated. Even authors who consider the inferential role of models as central, like Hughes or Bueno and Colyvan, content themselves with claiming that models contain mathematical resources that provide inferential power. We claim that these notions require further analysis and argue that mathematical formalisms contribute to this inferential role. We characterize formalisms, illustrate how they extend our mathematical resources, and highlight how distinct formalisms offer various inferential affordances.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 74,649

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

Similar books and articles

Mathematical Formalisms in Scientific Practice: From Denotation to Model-Based Representation.Axel Gelfert - 2011 - Studies in History and Philosophy of Science Part A 42 (2):272-286.
Explanation and Modelization in a Comprehensive Inferential Account.Donato-Rodríguez Xavieder & Zamora-Bonilla Jesús - 2009 - In Henk W. de Regt, Stephan Hartmann & Okasha Samir (eds.), EPSA Philosophy of Science: Amsterdam 2009.
Theoretical Models as Representations.Anguel Stefanov - 2012 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 43 (1):67-76.
Inferential Basing and Mental Models. Munaretti - 2017 - Philosophical Psychology 30 (1-2):102-118.
Refining the Inferential Model of Scientific Understanding.Mark Newman - 2013 - International Studies in the Philosophy of Science 27 (2):173-197.
Inferential and Non-Inferential Reasoning.Bart Streumer - 2007 - Philosophy and Phenomenological Research 74 (1):1-29.

Analytics

Added to PP
2018-10-20

Downloads
23 (#496,394)

6 months
2 (#279,211)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Anouk Barberousse
Sorbonne Université

Citations of this work

Add more citations

References found in this work

How the Laws of Physics Lie.Nancy Cartwright - 1983 - Oxford, England: Oxford University Press.
Models and Fiction.Roman Frigg - 2010 - Synthese 172 (2):251-268.
Mathematical Explanation in Science.Alan Baker - 2009 - British Journal for the Philosophy of Science 60 (3):611-633.

View all 19 references / Add more references