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April 14, 2026Open Access

Energy-Constrained Bayesian Updating: An Effective Model of Resource-Dependent Belief

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HYHongpu Yang

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Overview

Proposes a model that describes belief updating under resource constraints, indicating its implications for cognitive processing.

Key Points

  • The aim is to understand how belief revisions occur under varying resource constraints like cognitive load and time pressure.
  • Introduced a computational model grounded in Energy-Efficiency Theory (EET).
  • Defined a latent resource ratio for distinguishing between processing and maintenance resources.
  • Derived model predictions within a constrained variational framework.
  • Demonstrated systematic differences in belief updates due to resource limitations.
  • Recovered standard Bayesian updating as a limiting case.
  • Predicted differences based on physiological and behavioral proxies of resource allocation.

Cite This Study

Hongpu Yang (2026) studied this question.

synapsesocial.com/papers/69ddda22e195c95cdefd7ab5https://doi.org/10.5281/zenodo.19503491
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