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Updated: Sep 13, 2025

Finite Element Modelling of a Cellular Electric Microenvironment
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Explaining with simulation models.

Matthias Ackermann1

  • 1Leibniz Universität Hannover, Germany.

Studies in History and Philosophy of Science
|July 30, 2025
PubMed
Summary
This summary is machine-generated.

Computer simulations are crucial for explaining complex problems when mathematical models are unsolvable. Simulation models often play a central role in scientific discovery, offering autonomous explanations.

Keywords:
counterfactual explanationexplanatory autonomymathematical modelmodel-induced explanationsimulation model

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Area of Science:

  • Philosophy of Science
  • Computational Science

Background:

  • Mathematical models are often analytically intractable or practically unsolvable.
  • Researchers utilize computer simulations when analytical solutions are not feasible.
  • This leads to a distinction between mathematical and simulation models in scientific practice.

Purpose of the Study:

  • To investigate the role of mathematical and simulation models in scientific explanation.
  • To determine which type of model is central to explanatory discovery.
  • To develop an account of explanation that incorporates both types of models.

Main Methods:

  • Philosophical analysis of scientific explanation.
  • Examination of cases where computer simulations are employed.
  • Development of a counterfactual account of simulation-induced explanation.

Main Results:

  • Simulation models frequently serve a central role in explanatory discovery.
  • A counterfactual account of explanation is proposed, focusing on simulation models.
  • Simulation models can exhibit explanatory autonomy from their underlying mathematical models.

Conclusions:

  • The simulation model, not the mathematical model, is often central to explanation.
  • Simulation models possess an explanatory autonomy.
  • This autonomy aligns with existing views on the autonomous role of scientific models.