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Cognitive Semantics of Artificial Intelligence: A New Perspective

  • Book
  • © 2021

Overview

Authors:
  1. Alexander Raikov

    1. Russian Academy of Sciences, Institute of Control Sciences, Moscow, Russia

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  • Addresses the issue of cognitive semantics’ aspects that cannot be represented by traditional digital and logical means
  • Discusses necessary conditions for purposeful and sustainable convergence of decision-making
  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)

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Table of contents (24 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. History of Knowledge

    • Alexander Raikov
    Pages 1-5

  3. Philosophy of Knowledge

    • Alexander Raikov
    Pages 7-10

  4. Nonlogic Thought

    • Alexander Raikov
    Pages 11-14

  5. Hidden Consciousness

    • Alexander Raikov
    Pages 15-20

  6. Formalized Semantics

    • Alexander Raikov
    Pages 21-24

  7. Cosmomicrophysical Thinking

    • Alexander Raikov
    Pages 25-29

  8. Nonlocal Brainstorming

    • Alexander Raikov
    Pages 31-37

  9. Purposeful Creativity

    • Alexander Raikov
    Pages 39-43

  10. Cognitive Structures

    • Alexander Raikov
    Pages 45-49

  11. Quantum Semantics

    • Alexander Raikov
    Pages 51-58

  12. Optical Semantics

    • Alexander Raikov
    Pages 59-64

  13. Wave of Consciousness

    • Alexander Raikov
    Pages 65-68

  14. Entanglement of Thought

    • Alexander Raikov
    Pages 69-71

  15. Thought Event

    • Alexander Raikov
    Pages 73-76

  16. Thought Boosts

    • Alexander Raikov
    Pages 77-81

  17. Purposeful Chaos

    • Alexander Raikov
    Pages 83-88

  18. Dissipative Thought

    • Alexander Raikov
    Pages 89-92

  19. Purposefulness of Thought

    • Alexander Raikov
    Pages 93-96

  20. Small Impacts

    • Alexander Raikov
    Pages 97-99
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Keywords

About this book

This book addresses the issue of cognitive semantics’ aspects that cannot be represented by traditional digital and logical means. The problem of creating cognitive semantics can be resolved in an indirect way. The electromagnetic waves, quantum fields, beam of light, chaos control, relativistic theory, cosmic string recognition, category theory, group theory, and so on can be used for this aim. Since the term artificial intelligence (AI) appeared, various versions of logic have been created; many heuristics for neural networks deep learning have been made; new nature-like algorithms have been suggested. At the same time, the initial digital, logical, and neural network principles of representation of knowledge in AI systems have not changed a lot. The researches of these aspects of cognitive semantics of AI are based on the author's convergent methodology, which provides the necessary conditions for purposeful and sustainable convergence of decision-making.

Authors and Affiliations

  • Russian Academy of Sciences, Institute of Control Sciences, Moscow, Russia

    Alexander Raikov

About the author

Dr. Alexander Raikov is Leading Researcher of the Institute of Control Sciences of Russian Academy of Sciences, Doctor of technical sciences, State Advisor of the Russian Federation of the 3rd class, Winner of the Russian government award in the field of science and technology, Professor of the MIREA – Russian Technological University, and Head of the artificial intelligence department of the National Center for Digital Economy of the Lomonosov Moscow State University. In 1992–1999, he is Chief of the analytical technology department of Russian President Administration. His scientific and business interests are in AI and decision support systems in social and human organization, and strategic management. He published 7 books and 450 papers in periodical journals and proceedings of conferences in different scientific domains. He focuses on the advantages and risks of strong AI.

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