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A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
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Markov blankets and Bayesian territories.

Jeff Beck1

  • 1Department of Neurobiology, Duke University, Durham, NC 27710, USA jeff.beck@duke.edu.

The Behavioral and Brain Sciences
|September 29, 2022
PubMed
Summary

This study argues that all knowledge is model-based and conditional. It suggests that the distinction between Pearl and Friston blankets lies in their application domain, with Friston blankets potentially holding greater philosophical significance.

Area of Science:

  • Philosophy of Science
  • Computational Neuroscience
  • Bayesian Brain Hypothesis

Background:

  • The distinction between models (maps) and reality (territory) is crucial in scientific understanding.
  • Bruineberg et al. propose a distinction between Pearl and Friston blankets based on their metaphysical implications.
  • Existing frameworks often conflate different levels of modeling in neuroscience and cognitive science.

Purpose of the Study:

  • To re-evaluate the distinction between Pearl and Friston blankets.
  • To assert that all scientific knowledge is inherently model-dependent and conditional.
  • To propose an alternative interpretation of the Pearl/Friston distinction based on the domain of application.

Main Methods:

  • Conceptual analysis of existing theories on modeling and representation.

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  • Philosophical argumentation regarding the nature of knowledge and reality.
  • Reinterpretation of the Friston and Pearl blanket concepts within a unified modeling framework.
  • Main Results:

    • All knowledge is conditional and derived from models, not direct access to reality.
    • The distinction between Pearl and Friston blankets is best understood by their application to latent variables versus observations.
    • Friston blankets may possess greater philosophical significance than previously attributed, particularly concerning observations.

    Conclusions:

    • The map is always the territory; all scientific endeavors operate within models.
    • The utility of the Friston blanket concept may extend to philosophical considerations of observational data.
    • A unified perspective on modeling frameworks is essential for advancing cognitive and computational neuroscience.