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Evolution of Knowledge Science

Book 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.

  • Presents a current perspective of developments in central, display, signal, and graphics processor-units as they apply to designing knowledge systems
  • Offers ideas and methodologies for systematically extending data and object processing in computing into other disciplines such as economics, mathematics, and management
  • Provides best practices and designs for engineers alongside case studies that illustrate practical implementation ideas across multiple domains

Table of Contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. About the Author
  6. Foreword
  7. Preface
    1. Note
  8. Part I: Knowledge, Wisdom and Values
    1. Part I. Knowledge, Wisdom and Values
      1. Part I Summary
    2. Section I: From Early Thinker to Social Scientists
      1. Section I. From Early Thinker to Social Scientists
        1. Part I, Section I, Summary
      2. Chapter 1. Knowledge and Wisdom Across Cultures
        1. Chapter Summary
        2. 1.1 Introduction
        3. 1.2 Unabated Learning and Unbounded Knowledge
        4. 1.3 Pearls of Wisdom Along Highways of Time
        5. 1.4 Need for a Modern Science of Knowledge
        6. 1.5 Inception and Use of Business Machines
        7. 1.6 Information and its Current Deployment
        8. 1.7 Internet and Knowledge Revolution
        9. Conclusions
        10. References
      3. Chapter 2. From Philosophers to Knowledge Machines
        1. Chapter Summary
        2. 2.1 Introduction
        3. 2.2 From Immanuel Kant to george Herbert Mead
        4. 2.3 From Henry Ford to Peter Drucker
        5. Conclusions
        6. References
      4. Chapter 3. Affirmative Knowledge and Positive Human Nature
        1. Chapter Summary
        2. 3.1 Introduction
        3. 3.2 Use of Scientific and AI-Based Machines
        4. 3.3 Duality of Natural Forces and Human Traits
        5. 3.4 THE Fine Side of Human Nature
        6. Conclusions
        7. References
      5. Chapter 4. Negative Knowledge and Aggressive Human Nature
        1. Chapter Summary
        2. 4.1 Introduction
        3. 4.2 The Coarse Side of Human Nature
        4. 4.3 The Abuse of Information and Knowledge
        5. 4.4 Indulgence of Societies in Negative Social Settings
        6. 4.5 Deception and Cowardice in Humans
        7. 4.6 Negative Social Change: Deterioration and Decay
        8. 4.7 Social Decay of Nations and Cultures
        9. Conclusions
        10. References
      6. Chapter 5. Role of Devices, Computers and Networks
        1. Chapter Summary
        2. 5.1 Introduction
        3. 5.2 Devices, Machines, Humans, and Social Realities
        4. 5.3 Reality and Oscillation of Social Norms
        5. 5.4 Typical Global Shifts in Societies and Nations
        6. 5.5 Oscillation of Social Norms
        7. Conclusions
        8. References
    3. Section II: Information Machines and Social Progress
      1. Section II. Information Machines and Social Progress
        1. Part I, Section II, Summary
      2. Chapter 6. Recent Changes to the Structure of Knowledge
        1. Chapter Summary
        2. 6.1 Introduction
        3. 6.2 Individual Needs and Evolving Machines
        4. 6.3 Corporate Needs and Human Machine Interactive Systems
        5. 6.4 Knowledge-Based Computational Platforms for Organizations
        6. 6.5 Generality of the Knowledge-Based Approach
        7. 6.6 Transactions Management Machine
        8. Conclusions
        9. References
      3. Chapter 7. Origin and Structure of Knowledge Energy
        1. Chapter Summary
        2. 7.1 Introduction
        3. 7.2 Need Theory Basis for Knowledge-Based Solutions
        4. 7.3 Seminal Energy for Change in the Knowledge Domain
        5. 7.4 Optimal Search for Nos, Vfs, and *S
        6. 7.5 Customized Cases for Individuals, Corporations, and Societies
        7. 7.6 Convergence of Needs in Humans and Artificial Knowledge in Machines
        8. Conclusions
        9. References
      4. Chapter 8. Bands of Knowledge
        1. Chapter Summary
        2. 8.1 Introduction
        3. 8.2 Needs to Motivate and Society to Constrain
        4. 8.3 Iterative Convergence for Optimization
        5. 8.4 Knowledge Machine Programming for a Given Objective
        6. Conclusions
        7. Appendix 8 A
        8. References
      5. Chapter 9. Frustums of Artificial Behavior
        1. Chapter Summary
        2. 9.1 Introduction
        3. 9.2 Frustums and Their Volume
        4. 9.3 The Degeneration of Knowledge
        5. 9.4 Content-Based Internet Knowledge Filters
        6. 9.5 General Deployment of Knowledge Filters
        7. Conclusions
        8. References
      6. Chapter 10. Computer-Aided Knowledge Design and Validation
        1. Chapter Summary
        2. 10.1 Introduction
        3. 10.2 Major Procedural Steps
        4. 10.3 Blend and Process Input, Local, and Internet Knowledge
        5. 10.4 Generate Newly Synthesized Knowledge – Bok’
        6. 10.5 Rationality and Scoring of New Knowledge – Bok’
        7. 10.6 Machine Configurations
        8. 10.7 Convolutions and their Options
        9. 10.8 Conclusions
        10. References
    4. Section III: Knowledge Science and Social Influence
      1. Section III. Knowledge Science and Social Influence
        1. Part I, Section III, Summary
      2. Chapter 11. Knowledge and Information Ethics
        1. Chapter Summary
        2. 11.1 Introduction
        3. 11.2 Knowledge Processing in Networks
        4. 11.3 Knowledge Machines to Damp Internet Opportunism
        5. 11.4 A Stable Social Balance
        6. Conclusions
        7. References
      3. Chapter 12. From Primal Thinking to Potential Computing
        1. Chapter Summary
        2. 12.1 Introduction
        3. 12.2 From Attainment to Philosophy
        4. 12.3 The Inception of the Digital Age (Rows 5 to 7 of Table Ib)
        5. 12.4 Differences Between Information and Knowledge Machines
        6. 12.5 The Impact of Digital Domains on Extended Information
        7. 12.6 Action [(Vf)* Upon *Object (No)] Based Operations
        8. Conclusions
        9. References
      4. Chapter 13. Action (VF) → (*) ← Object (NO) Based Processors and Machines
        1. Chapter Summary
        2. 13.1 Introduction
        3. 13.2 Human Transactions and Social Progress
        4. 13.3 Instructions and Processors for Humanistic Functions
        5. 13.4 Architectural Configurations of Advanced Processors
        6. 13.5 Social Processing
        7. Conclusions
        8. References
      5. Chapter 14. Aphorism and Truism in Knowledge Domain
        1. Chapter Summary
        2. 14.1 Introduction
        3. 14.2 Foundations of Social Interactions
        4. 14.3 Recent Changes in the Social Settings
        5. 14.4 Axioms for Dealing with Social Objects
        6. 14.5 Social Media and Human Interactions
        7. 14.6 Separation of Emotion and Reason on an Integrated Basis
        8. Conclusions
        9. References
        10. Appendix 14A.1 Interpolation of Social Signals
        11. Appendix 14A.2 Verb-Force Function and Change of Noun Objects
        12. Appendix 14A.3 Electrical Systems Analogy
        13. Appendix 14A.4 Extrapolation into Social Systems
      6. Chapter 15. Timing Sequences and Influence of Time
        1. Chapter Summary
        2. 15.1 Introduction
        3. 15.2 Inclusion of Time in Social Transactions
        4. 15.3 Five Basic Truisms and their Implications
        5. 15.4 Time, Transactions, and Oscillations
        6. 15.5 Mediation by Knowledge/Social Machines
        7. Conclusions
        8. References
  9. Part II: Summary
    1. Part II. Summary
      1. From Internet-Based Systems to Medical Machines
    2. Section I: The Scientific basis for Knowledge Flow
      1. Section I. The Scientific basis for Knowledge Flow
        1. Part II, Section I, Summary
      2. Chapter 16. General Flow Theory of Knowledge
        1. Chapter Summary
        2. 16.1 Introduction
        3. 16.2 The State of an Object
        4. 16.3 Combined Kenergy and Kentropy of Objects
        5. 16.4 Structure of Knowledge
        6. 16.5 Flow-Dynamics of Knowledge
        7. Conclusions
        8. References
      3. Chapter 17. Transmission Flow Theory of Knowledge
        1. Chapter Summary
        2. 17.1 Introduction
        3. 17.2 The Complexity of Knowledge Space
        4. 17.3 Physical Space and Mental Space
        5. 17.4 Reality and its Mental Portrait
        6. 17.5 The Transmission Aspects of Knowledge
        7. 17.6 Feedback and Stability of KCO's
        8. 17.7 Knowledge Flow and Distortions in Social Media
        9. 17.8 Flow of Information and Knowledge
        10. Conclusions
        11. References
      4. Chapter 18. Quantum Flow Theory of Knowledge
        1. Chapter Summary
        2. 18.1 Introduction
        3. 18.2 Representation of the General Format of Interactions
        4. 18.3 Atomic/Molecular Weight of Kels in Society
        5. 18.4 Statistical Properties of Kels and Kcos in Society
        6. Conclusions
        7. References
      5. Chapter 19. Inspiration Flow Theory of Knowledge
        1. Chapter Summary
        2. 19.1 Introduction
        3. 19.2 Transference of Knowledge
        4. 19.3 Inspirational Aspects in the Flow of Knowledge
        5. 19.4 Positive Inspirations (Portrait of Progress)
        6. 19.5 Negative Desperation (Portraits of Deception)
        7. Conclusions
        8. References
      6. Chapter 20. Dynamic Nature of Knowledge: Fragmentation and Flow
        1. Chapter Summary
        2. 20.1 Introduction
        3. 20.2 Fragmentation of Knowledge into its Elements
        4. 20.3 Representation of the General Format of Interactions
        5. Conclusions
        6. References
    3. Section II: Preface
      1. Section II. Preface
        1. Part II, Section II, Summary
      2. Chapter 21. Knowledge Potential and Utility
        1. Chapter Summary
        2. 21.1 Introduction
        3. 21.2 Representation of Generic Format of Interactions
        4. 21.3 Knowledge Acquisition in Institutions
        5. 21.4 Graduate Education
        6. Conclusions
        7. References
      3. Chapter 22. Elements of Knowledge as Elements in Nature
        1. Chapter Summary
        2. 22.1 Introduction
        3. 22.2 Quantization of Knowledge
        4. 22.3 Molecular Weights of Carbon Compounds and Larger Knowledge Elements
        5. Conclusions
        6. References
      4. Chapter 23. Knowledge Element Machine Design: Pathways of Knowledge in Machines
        1. Chapter Summary
        2. 23.1 Introduction
        3. 23.2 The Nature of a Knowledge Element (Kel)
        4. 23.3 Programmability and Deployment of Kels
        5. 23.4 The Architecture of a Kel Machine
        6. 23.5 Social Impact of Knowledge-Based Machines
        7. Conclusions
        8. References
      5. Chapter 24. Elements of Knowledge in Societies
        1. Chapter Summary
        2. 24.1 Introduction
        3. 24.2 Incorporation of Human Factors
        4. 24.3 Adaptation by the Machine
        5. 24.4 The Positive and Benevolent Side of Human Activity
        6. 24.5 The Negative and Destructive Side of Human Activity
        7. 24.6 Internet-Based Knowledge Positioning System (KPS)
        8. 24.7 Instability During Disorder and Chaos
        9. Conclusions
        10. References
      6. Chapter 25. Role of Human Discretion in Society and Its Impact on Ecosystems
        1. Chapter Summary
        2. 25.1 Introduction
        3. 25.2 Longevity of Ecosystems
        4. 25.3 The Seven Nodes Toward Positive Social Change
        5. 25.4 Seven Nodes Toward Negative Social Change
        6. Conclusions
        7. References
    4. Section III: Preface
      1. Section III. Preface
        1. Part II, Section III, Summary
      2. Chapter 26. Scientific Foundations of Knowledge
        1. Chapter Summary
        2. 26.1 Introduction
        3. 26.2 Infrastructure of Sciences
        4. 26.3 Platform of Pure Sciences
        5. 26.4 Role of Thermodynamics
        6. 26.5 Platform of Social Science
        7. 26.6 Framework of Knowledge
        8. 26.7 Hierarchies of Objects and Actions
        9. 26.8 Knowledge: a Scientific Entity
        10. 26.9 State of Knowledge
        11. Conclusions
        12. References
      3. Chapter 27. Real Space, Knowledge Space and Computational Space
        1. Chapter Summary
        2. 27.1 Introduction
        3. 27.2 Anatomy of Social Interactions
        4. 27.3 Symbolic Representations of Interactions
        5. 27.4 The Arrow Symbol and its Variations
        6. 27.5 Seven Concurrent and Coexisting Spaces
        7. 27.6 The Hierarchy of Spaces
        8. 27.7 Switched Network Connectivity in Communications
        9. Conclusions
        10. References
        11. Appendix 27A Symbols for Knowledge Space
      4. Chapter 28. General Structure of Knowledge (no*→ *→ vf and vf*→ *→ no)
        1. Chapter Summary
        2. 28.1 Introduction
        3. 28.2 Methodology Based on Communication Science
        4. 28.3 Seven Basic Questions to Complete Knowledge
        5. 28.4 Zero, Partial, and Imperfect Knowledge Syndrome
        6. 28.5 Complete Knowledge and Knowledge Matrix (Kmat)
        7. Conclusions
        8. References
      5. Chapter 29. The Architecture of a Mind-Machine
        1. Chapter Summary
        2. 29.1 Introduction
        3. 29.2 The Conceptual Framework
        4. 29.3 Seven Hierarchical Spaces
        5. 29.4 Details of Knowledge Space(S) in the Mind-Machine
        6. 29.5 The Architectural Hardware
        7. 29.6 The Internet Paradigm
        8. 29.7 A Derived Medical Machine
        9. Conclusions
        10. References
      6. Chapter 30. The Architecture of a Medical Machine
        1. Chapter Summary
        2. 30.1 Introduction
        3. 30.2 Eight Stages in the Life of Any Knowledge Cycle
        4. 30.3 Medical Machines in Internet Society
        5. 30.4 Existing Medical Expertise and its Deployment
        6. 30.5 Micro-, Mini-, and Mainframe Medical Machines
        7. 30.6 Framework of Network-Based Medical Environment (Nbme)
        8. 30.7 Generic Medical Systems and their Networks
        9. 30.8 Med-Bots Flowcharts: Procedures and Sub-Procedures
        10. Conclusions
        11. References
  10. Acronyms for Knowledge Science
    1. Acronyms
  11. Epilogue: Transitional Knowledge Field Theory (KFT)
    1. Epilogue Summary
    2. E.1 Introduction
    3. E.2 Marshal and Newton into Knowledge Space
    4. E.3 Noun-Object and Verb-Function Field Groups
    5. E.4 Contour of Universal But Illusive Knowledge
    6. E.5 Overlap Between Physics and Knowledge Science
    7. E.6 Role of Grad, Div, Curl, Curl-Of-Curl in the Knowledge Domain
    8. E.7 Laplace and Poisson Equations in Knowledge Spaces
    9. Conclusions
    10. Concluding Remarks
    11. Appendix EA Vector Operators in Knowledge Domain
    12. Appendix EB Laplace and Poisson Equations in Knowledge Domain
  12. Index