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The Genetic Language: Natural Algorithms, Developmental Patterns, and Instinctive Behavior

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Advances in Artificial Systems for Medicine and Education II (AIMEE2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 902))

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Abstract

The genetic system of biological organisms possesses a structure which corresponds to the general principles of linguistics and can be defined as the genetic language. In this study, we suggest to analyze the mechanisms for interpretation of genetic texts based on the universal model of operation of the programs in electronic computers as initially suggested by Efim Liberman. Ontogenetic development is realized at the level of reading of genetic texts by the structure named by Liberman as a molecular computer of the cell (MCC), which includes DNA, RNA, and the corresponding enzymes that work with molecular addresses. The main feature of the biological computer is the search for addresses using the thermal Brownian motion and the complex formation of weak bonds without the cost of free energy. The implementation of genetic programs takes place not only in the course of individual development, characterized by the encoding of the sequences of reading proteins, but also in the execution of instinctive behavior. The description of external reality occurs in terms of the genetic language in all living beings. In addition, the reality is universally described in the natural (human) language. In both cases, the description is implemented in the form of using models, the calculation of which allows prediction of the future of the simulated reality and its management. The success of such control depends on the choice of model and the correct scale, which determines the energy and time spent on the calculation. This quantity, equal to the production of energy and time, is quantized and is related to Planck’s constant. An attempt has been made to construct a semantic system of the genetic language, for which a deliberately narrowed but instrumental definition of “text” and “meaning” is given.

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Author information

Authors and Affiliations

  1. National Research Center for Hematology, Moscow, Russia

    Nikita E. Shklovskiy-Kordi

  2. Federal Research Centre of Computer Sciences, Management of RAS, Moscow, Russia

    Victor K. Finn

  3. Research Computing Center, Moscow State University, Moscow, Russia

    Lev I. Ehrlich

  4. Department of Biology, Memorial University of Newfoundland, St. John’s, NL, Canada

    Abir U. Igamberdiev

Authors
  1. Nikita E. Shklovskiy-Kordi
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  2. Victor K. Finn
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  3. Lev I. Ehrlich
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  4. Abir U. Igamberdiev
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Corresponding author

Correspondence to Abir U. Igamberdiev .

Editor information

Editors and Affiliations

  1. School of Educational Information Technology, Central China Normal University, Wuhan, Hubei, China

    Zhengbing Hu

  2. Mechanical Engineering Research Institute, Russian Academy of Sciences, Moscow, Russia

    Sergey V. Petoukhov

  3. Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Davie, FL, USA

    Matthew He

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Shklovskiy-Kordi, N.E., Finn, V.K., Ehrlich, L.I., Igamberdiev, A.U. (2020). The Genetic Language: Natural Algorithms, Developmental Patterns, and Instinctive Behavior. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education II. AIMEE2018 2018. Advances in Intelligent Systems and Computing, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-12082-5_16

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