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Modelling Worldviews as Stable Metabolisms.

Tomas Veloz1,2,3, Pedro Maldonado1,2

  • 1Centre Leo Apostel, Vrije Universiteit Brussel, Rue de la Strategie 33, 1060 Brussels, Belgium.

Entropy (Basel, Switzerland)
|July 8, 2023
PubMed
Summary

This study models worldviews as metabolic systems using reaction networks. It shows how beliefs and triggers form self-producing organizations, explaining worldview emergence, maintenance, and irreversible change via external triggers.

Keywords:
chemical organization theoryemergenceworldviews

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Area of Science:

  • Cognitive Science
  • Computational Social Science
  • Theoretical Chemistry

Background:

  • Existing cognitive theories lack testable predictive models for worldview evolution.
  • Machine learning models predict worldview outcomes but lack a cognitive foundation.
  • Worldviews are complex and require rigorous scientific modeling in a connected world.

Purpose of the Study:

  • To propose a formal, predictive model for worldview establishment and change.
  • To conceptualize the realm of ideas as a metabolic system.
  • To utilize chemical organization theory for modeling belief systems.

Main Methods:

  • Developed a general model of worldviews based on reaction networks.
  • Created a specific model using species for belief attitudes and belief change triggers.
  • Employed dynamical simulations and chemical organization theory.

Main Results:

  • Worldviews identified as chemical organizations: closed, self-producing structures maintained by feedback loops.
  • Demonstrated how external inputs of belief change triggers can irreversibly alter worldviews.
  • Illustrated the model with scenarios of opinion formation and belief attitude changes across themes.

Conclusions:

  • Chemical organization theory provides a robust framework for understanding worldview dynamics.
  • The proposed model offers a testable, cognitive-based approach to studying belief systems.
  • This formalization aids in predicting and potentially influencing worldview evolution.