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Research Article Open access CC BY 4.0

Information Content of the Model for Calculating the Finite Precision of Measurements

Boris Menin

Physical Science International Journal · pp. 33–46 · Published 2 Sep 2020

10.9734/psij/2020/v24i730201

Abstract

Aims: We argue that the choice of a specific qualitative–quantitative set of variables in a model by a conscious observer fundamentally limits the achievable accuracy of the measurement process. Place and Duration of Study: Mechanical & Refrigeration Consultation Expert, between January 2020 and July 2020. Methodology: Using the concept of “finite information quantities” introduced by Gisin, we try to present it as a practical tool in science and engineering in calculating the proximity indicator of a model to the phenomenon being studied. Results: The formulated metric (comparative uncertainty) allows us to set the optimal achievable uncertainty of the model and to confirm the impossibility of implementing the principle of infinite precision. Conclusion: Any attempt to search for a universal physical theory must consider the uncertainty caused by the observer’s vision and the working of the human brain.

Information entropy measurement uncertainty measurement units mathematical model observability precision engineering modeling random variables

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Cited by 4

About continuity and discreteness of quantities: examples from physics and metrology

Franco Pavese · Ukrainian Metrological Journal · 2021

Construction of a model as an information channel between the physical phenomenon and observer

Boris Menin · Journal of the Association for Information Science and Technology · 2021

Informational Restrictions in the Formulation of Physical Laws by Researchers

Boris Menin · The 2021 Summit of the International Society for the Study of Information · 2022

Simplicity of Physical Laws: Informational-Theoretical Limits

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