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System Analysis of Deep Trends in the Evolution of Science: From Fixed Concepts to Moving Artistic Images

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System Analysis in Engineering and Control (SAEC 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 442))

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Abstract

A systematic analysis of modern science shows that it is currently in a stage of a deep crisis caused by a number of factors (loss of integrity of the scientific worldview, no link between tens of thousands of research disciplines, highly complex concepts, impossibility to verify many hypotheses, extremely long mathematical proofs, etc.). The purpose of the paper is to define the causes of the crisis and suggest methods of overcoming it. The study employs the following methods: abstraction, generalization, induction, deduction, analysis, synthesis, analogy, interpretation, system-structural method. The following findings have been substantiated: the main cause of the crisis is thinking in permanent concepts. This method of thinking was ingrained in philosophy and science through the paradigm of Parmenides (“being is essentially motionless”) and Aristotle’s Logic, in particular, the law of identity (A = A); 2) The paradigm of Heraclitus (“everything flows”) and Hegel’s ontology present a possibility to create a new rationalism based on “dynamic” concepts; 3) The suggested “generalized identity law” can form the foundation of rationalism as “motion-based thinking”; 4) The prerequisite of the new rationalism is the paradigm of evolution (the object is an evolving human-dimensional system), i. e. concepts and methods assume the “mobility” of images-concepts in the process of reasoning (in topology, intuitionism, fuzzy logic, and other non-classical logics); 5) Arts is a cultural area where images, concepts, and forms evolve as an artwork unfolds. Contemporary science and art converge in terms of style, methods, and techniques of using variable concepts and images, 6) A currently reanimated ancient Greek understanding of time as the unity of Chronos, Cyclos, and Kairos (i.e. human, natural, and spiritual time) is a contributing condition for synthesis of science and art; 7) Science-Art is a promising area of development of cognition and culture. The significance of the suggested ideas lies in the fact that adoption of thinking in “dynamic” concepts and images by the scientific community will make it possible for science and civilization to ascend to new promising paradigms, methods, and paths of evolution.

Science progresses from Parmenides to Heraclitus

I. Prigogine

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Acknowledgement

This research received a special grant No. 20-511-00003 from the Russian Foundation for Basic Research.

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Authors and Affiliations

  1. Tver State University, Zhelyabov Street, 33, 170100, Tver, Russia

    Viacheslav E. Voitsekhovich

  2. Moscow Polytechnic University, Bolshaya Semenovskaya Street, 38, 107023, Moscow, Russia

    Ilia N. Volnov

  3. Applied Mathematics Institute of the Russian Academy of Sciences, Miusskaya sq., 4, 125047, Moscow, Russia

    Georgy G. Malinetskiy

Authors
  1. Viacheslav E. Voitsekhovich
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  2. Ilia N. Volnov
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  3. Georgy G. Malinetskiy
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Corresponding author

Correspondence to Viacheslav E. Voitsekhovich .

Editor information

Editors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Yuriy S. Vasiliev

  2. Institute for Applied System Analysis, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kiev, Ukraine

    Nataliya D. Pankratova

  3. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Violetta N. Volkova

  4. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Olga D. Shipunova

  5. Internationale Akademie für Management und Technologie (INTAMT) e.V., Düsseldorf, Germany

    Nikolay N. Lyabakh

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Voitsekhovich, V.E., Volnov, I.N., Malinetskiy, G.G. (2022). System Analysis of Deep Trends in the Evolution of Science: From Fixed Concepts to Moving Artistic Images. In: Vasiliev, Y.S., Pankratova, N.D., Volkova, V.N., Shipunova, O.D., Lyabakh, N.N. (eds) System Analysis in Engineering and Control. SAEC 2021. Lecture Notes in Networks and Systems, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-030-98832-6_10

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