Abstract
Many people remember Lofti Zadeh’s mantra—that everything is a matter of degree. This was one of the main principles behind fuzzy logic. What is somewhat less remembered is that Zadeh also used another important principle—that there is a need for simplicity. In this paper, we show that together, these two principles can generate the main ideas behind such various subjects as Kolmogorov complexity, quantum physics, and deep learning. We also show that these principles can help provide a better understanding of an important notion of space-time causality.
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Acknowledgements
This work was supported in part by the US National Science Foundation grants 1623190 (A Model of Change for Preparing a New Generation for Professional Practice in Computer Science) and HRD-1242122 (Cyber-ShARE Center of Excellence).
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Kreinovich, V., Kosheleva, O., Ortiz-Muñoz, A. (2023). Need for Simplicity and Everything Is a Matter of Degree: How Zadeh’s Philosophy is Related to Kolmogorov Complexity, Quantum Physics, and Deep Learning. In: Shahbazova, S.N., Abbasov, A.M., Kreinovich, V., Kacprzyk, J., Batyrshin, I.Z. (eds) Recent Developments and the New Directions of Research, Foundations, and Applications. Studies in Fuzziness and Soft Computing, vol 422. Springer, Cham. https://doi.org/10.1007/978-3-031-20153-0_16
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DOI: https://doi.org/10.1007/978-3-031-20153-0_16
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