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Simulation and the predictive brain.

Daniel Dohrn1

  • 1Dipartimento di Filosofia, Università degli Studi di Milano, 20122Milan, Italy. Daniel.Dohrn@unimi.it https://www.unimi.it/it/ugov/person/daniel-dohrn.

The Behavioral and Brain Sciences
|July 11, 2020
PubMed
Summary

This study clarifies the roles of simulation and theory in scientific prediction. Simulation functions by representing target situations, often combined with theory for robust predictions.

Area of Science:

  • Philosophy of Science
  • Computational Science

Background:

  • Scientific prediction frequently integrates both theoretical models and computational simulations.
  • Understanding the distinct and combined roles of simulation and theory is crucial for advancing predictive capabilities.

Purpose of the Study:

  • To define simulation within the context of scientific prediction.
  • To elucidate the respective functions of simulation and theory in the prediction process.
  • To explore how simulation and theory are combined for enhanced predictive accuracy.

Main Methods:

  • Conceptual analysis of the definitions and roles of simulation and theory.
  • Examination of the structural and resource flexibility inherent in simulation.
  • Review of existing frameworks where simulation and theory are integrated.

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Main Results:

  • Simulation is characterized by its flexible structure and resource requirements.
  • The primary function of simulation is to represent target situations analogously.
  • Simulation and theory are often synergistically employed in prediction.

Conclusions:

  • Simulation provides a representational tool, while theory offers explanatory or causal frameworks.
  • Combined use of simulation and theory enhances the reliability and scope of scientific predictions.
  • A clear understanding of these roles improves the methodology of scientific forecasting.