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Synapse
March 3, 20260 citationsOpen Access

Modeling Reality under Constraint

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WKWilliams Stonard Kaphika

Key Points

  • Predictions in physics face fundamental limits due to computational complexity and quantum uncertainty, influencing reliability.
  • Nonlinear dynamics and thermodynamic irreversibility also impose constraints on scientific modeling efforts in various contexts.
  • The review synthesizes insights from recent literature, establishing a framework for understanding modeling limitations.
  • Highlighting these constraints may enable better simulation practices and inform responsible research policies.

Abstract

This review examines the fundamental limits of prediction and modeling in contemporary physics, focusing on constraints arising from nonlinear dynamics, quantum uncertainty, thermodynamic irreversibility, and computational complexity. Drawing on recent literature, the paper argues that these limits do not represent failures of scientific modeling, but rather define the epistemic boundaries within which physics generates reliable knowledge. The review contributes to ongoing discussions on the responsible use of simulation and models in research and policy contexts.

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Cite This Study

Williams Stonard Kaphika (2026) studied this question.

synapsesocial.com/papers/69a75d01c6e9836116a265ebhttps://doi.org/10.5281/zenodo.18397560
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