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Why Ideas First Appear in Informal Form? Why It Is Very Difficult to Know Yourself? Fuzzy-Based Explanation

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Applications of Fuzzy Techniques (NAFIPS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 500))

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Abstract

To a lay person reading about history of physics, it may sound as if the progress of physics comes from geniuses whose inspiration leads them to precise equations that – almost magically – explain all the data: this is what Newton did with mechanics, this is what Schroedinger did with quantum physics, this is what Einstein did with gravitation. However, a deeper study of history of physics shows that in all these cases, these geniuses did not start from scratch – they formalized ideas that first appeared in imprecise (“fuzzy”) form. In this paper, we explain – on the qualitative level – why ideas usually first appear in informal, imprecise form. This explanations enables us to understand other seemingly counterintuitive facts – e.g., that it is much more difficult for a person to know him/herself than to know others. We also provide some general recommendations based on this explanation.

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Acknowledgments

This work was supported in part by the National Science Foundation grants 1623190 (A Model of Change for Preparing a New Generation for Professional Practice in Computer Science), and HRD-1834620 and HRD-2034030 (CAHSI Includes), and by the AT &T Fellowship in Information Technology.

It was also supported by the program of the development of the Scientific-Educational Mathematical Center of Volga Federal District No. 075-02-2020-1478, and by a grant from the Hungarian National Research, Development and Innovation Office (NRDI).

The authors are thankful to the anonymous referees for valuable suggestions.

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Correspondence to Vladik Kreinovich .

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Svítek, M., Kreinovich, V. (2023). Why Ideas First Appear in Informal Form? Why It Is Very Difficult to Know Yourself? Fuzzy-Based Explanation. In: Dick, S., Kreinovich, V., Lingras, P. (eds) Applications of Fuzzy Techniques. NAFIPS 2022. Lecture Notes in Networks and Systems, vol 500. Springer, Cham. https://doi.org/10.1007/978-3-031-16038-7_27

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