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Influence of Language on the Lifespan of Populations of Artificial Intelligence

  • CYBERNETICS
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Cybernetics and Systems Analysis Aims and scope

Abstract

The article describes an evolutionary model for artificial intelligence intended for the design and development of intelligent systems. The key element of the proposed model is the so-called ALF that is an intelligent agent with the ability for self-learning, communication, joint actions, and self-organization among similar agents. The development of ALF agents is based on evolutionary principles. In this article, we analyze the influence of the complication of a natural language as the main communication means between ALF agents on their lifespan.

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Authors and Affiliations

  1. Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

    A. V. Anisimov, A. A. Marchenko & V. R. Zemlianskyi

Authors
  1. A. V. Anisimov
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  2. A. A. Marchenko
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  3. V. R. Zemlianskyi
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Corresponding author

Correspondence to A. V. Anisimov.

Additional information

Translated from Kibernetyka ta Systemnyi Analiz, No. 5, September–October, 2021, pp. 3–11.

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Anisimov, A.V., Marchenko, A.A. & Zemlianskyi, V.R. Influence of Language on the Lifespan of Populations of Artificial Intelligence. Cybern Syst Anal 57, 669–675 (2021). https://doi.org/10.1007/s10559-021-00392-4

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  • DOI: https://doi.org/10.1007/s10559-021-00392-4

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