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Computer simulation and the features of novel empirical data.

Greg Lusk1

  • 1University of Toronto, Canada.

Studies in History and Philosophy of Science
|April 17, 2016
PubMed
Summary
This summary is machine-generated.

Computer simulations can yield novel empirical data, challenging the view that they are merely programming outputs. This study examines the conditions under which simulation results gain empirical and novel status, akin to experimental measurements.

Keywords:
Computer simulationDataEmpirical knowledgeEvidenceMeasurement

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Area of Science:

  • Philosophy of Science
  • Computational Science
  • Epistemology

Background:

  • Philosophers of science debate the epistemic status of computer simulations.
  • A key question is whether simulation results constitute novel empirical data.
  • Prevailing views suggest simulations lack empiricality due to programming limitations and lack of target interaction.

Purpose of the Study:

  • To determine the epistemic status of computer simulation results.
  • To examine the conditions under which simulation data can be considered empirical and novel.
  • To challenge the notion that simulations are inherently non-empirical.

Main Methods:

  • Philosophical analysis of computer simulations and experiments.
  • Examination of the criteria for empiricality and novelty in scientific data.
  • Comparative study of features between simulation data and measurement results.

Main Results:

  • Argues against the position that computer simulation results can never be empirical or novel.
  • Identifies conditions under which simulation data can display features of empiricality and novelty.
  • Demonstrates that some simulation results can possess empirical and novel characteristics comparable to measurement results.

Conclusions:

  • Computer simulation results can achieve empirical and novel status.
  • The epistemic value of simulations is comparable to traditional experiments under specific conditions.
  • Re-evaluates the relationship between computational methods and empirical knowledge in science.