Information Content of the Model for Calculating the Finite Precision of Measurements
Physical Science International Journal · pp. 33–46 · Published 2 Sep 2020
10.9734/psij/2020/v24i730201Abstract
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.
Cited by 4
Franco Pavese · Ukrainian Metrological Journal · 2021
Boris Menin · Journal of the Association for Information Science and Technology · 2021
Boris Menin · The 2021 Summit of the International Society for the Study of Information · 2022
Boris M. Menin · IEEE Access · 2022
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