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    Evolution of Knowledge Science: Myth to Medicine: Intelligent Internet-Based Humanist Machines

    Evolution of Knowledge Science by Ahamed, Syed V.;

    Myth to Medicine: Intelligent Internet-Based Humanist Machines

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      • Publisher's listprice EUR 64.95
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        25 369 Ft (24 161 Ft + 5% VAT)
      • Discount 20% (cc. 5 074 Ft off)
      • Discounted price 20 295 Ft (19 329 Ft + 5% VAT)
      • Discount is valid until: 30 June 2026

    25 369 Ft

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    Long description:

    Evolution of Knowledge Science: Myth to Medicine: Intelligent Internet-Based Humanist Machines explains how to design and build the next generation of intelligent machines that solve social and environmental problems in a systematic, coherent, and optimal fashion. The book brings together principles from computer and communication sciences, electrical engineering, mathematics, physics, social sciences, and more to describe computer systems that deal with knowledge, its representation, and how to deal with knowledge centric objects. Readers will learn new tools and techniques to measure, enhance, and optimize artificial intelligence strategies for efficiently searching through vast knowledge bases, as well as how to ensure the security of information in open, easily accessible, and fast digital networks.

    Author Syed Ahamed joins the basic concepts from various disciplines to describe a robust and coherent knowledge sciences discipline that provides readers with tools, units, and measures to evaluate the flow of knowledge during course work or their research. He offers a unique academic and industrial perspective of the concurrent dynamic changes in computer and communication industries based upon his research. The author has experience both in industry and in teaching graduate level telecommunications and network architecture courses, particularly those dealing with applications of networks in education.

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    Table of Contents:

    Part I: Knowledge, Wisdom and Values

    Section I: From Early Thinker to Social Scientists

    Chapter 1. Knowledge and Wisdom Across Cultures

    Chapter 2. From Philosophers to Knowledge Machines

    Chapter 3. Affirmative Knowledge and Positive Human Nature

    Chapter 4. Negative Knowledge and Aggressive Human Nature

    Chapter 5. Role of Devices, Computers and Networks

    Section II: Information Machines and Social Progress

    Chapter 6. Recent Changes to the Structure of Knowledge

    Chapter 7. Origin and Structure of Knowledge Energy

    Chapter 8. Bands of Knowledge

    Chapter 9. Frustums of Artificial Behavior

    Chapter 10. Computer-Aided Knowledge Design and Validation

    Section III: Knowledge Science and Social Influence

    Chapter 11. Knowledge and Information Ethics

    Chapter 12. From Primal Thinking to Potential Computing

    Chapter 13. Action (VF) ? (*) ? Object (NO) Based Processors and Machines

    Chapter 14. Aphorism and Truism in Knowledge Domain

    Chapter 15. Timing Sequences and Influence of Time

    Part II: Summary

    Section I. The Scientific basis for Knowledge Flow

    Chapter 16. General Flow Theory of Knowledge

    Chapter 17. Transmission Flow Theory of Knowledge

    Chapter 18. Quantum Flow Theory of Knowledge

    Chapter 19. Inspiration Flow Theory of Knowledge

    Chapter 20. Dynamic Nature of Knowledge: Fragmentation and Flow

    Section II: Preface

    Chapter 21. Knowledge Potential and Utility

    Chapter 22. Elements of Knowledge as Elements in Nature

    Chapter 23. Knowledge Element Machine Design: Pathways of Knowledge in Machines

    Chapter 24. Elements of Knowledge in Societies

    Chapter 25. Role of Human Discretion in Society and Its Impact on Ecosystems

    Section III: Preface

    Chapter 26. Scientific Foundations of Knowledge

    Chapter 27. Real Space, Knowledge Space and Computational Space

    Chapter 28. General Structure of Knowledge (no*? vf and vf*? no)

    Chapter 29. The Architecture of a Mind-Machine

    Chapter 30. The Architecture of a Medical Machine

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