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Next Generation Knowledge Machines

Book Description

This book delivers the scientific and mathematical basis to treat and process knowledge as a quantifiable and dimensioned entity. It provides the units and measures for the value of information contained in a "body of knowledge" that can be measured, processed, enhanced, communicated and preserved. It provides a basis to evaluate the quantity of knowledge acquired by students at various levels and in different universities. The effect of time on the dynamics and flow of knowledge is tied to Internet knowledge banks and provides the basis for designing and building the next generation of novel machine to appear in society.

This book ties the basic needs of all human beings to the modern machines that resolve such need based on Internet knowledge banks (KBs) distributed throughout nations and societies. The features of the Intelligent Internet are fully exploited to make a new generation of students and knowledge workers use the knowledge resources elegantly and optimally.  It deals with topics and insight into the design and architecture of next-generation computing systems that deal with human and social problems. Processor and Internet technologies that have already revolutionized human lives form the subject matter and the focal point of this book. Information and knowledge on the Internet delivered by next-generation mobile networks form the technical core presented. Human thought processes and adjustments follow the solutions offered by machines.



  • Extends the established practices and designs documented in computer systems to encompass the evolving knowledge processing field
  • Provides an academic and industrial viewpoint of the concurrent dynamic changes in computer and communication industries
  • Presents information for all perspectives, from managers, scientists and researchers
  • Basic concepts can be applied to other disciplines and situations

Table of Contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. About the Author
  6. Synopsis of the Book
    1. Overview
  7. Preface
  8. Part I: Technological Foundations and Human Aspect of Knowledge
    1. Part I. Technological Foundations and Human Aspect of Knowledge
    2. 1. Computational Framework
      1. 1.1 Introduction
      2. 1.2 Network and Knowledge Revolution
      3. 1.3 Processor Revolution(s)
      4. 1.4 Knowledge Machine Concept
      5. 1.5 Object Machine and Opus
      6. 1.6 A Micro KPU
      7. 1.7 Conclusion
      8. References
    3. 2. Human and Social Aspects
      1. 2.1 Introduction
      2. 2.2 Human Needs and Computer Solutions
      3. 2.3 Rationality in Human Behavior
      4. 2.4 Levels of Needs and Bands of Knowledge
      5. 2.5 Social Needs, Knowledge, and Gratification
      6. 2.6 Generic Needs, Internet Knowledge, and KCOs
      7. 2.7 Scientific Aspects and Ethical Society
      8. 2.8 Conclusion
      9. References
    4. 3. Processing, Switching, and Communication of Knowledge
      1. 3.1 Introduction
      2. 3.2 Velocity of Flow of Knowledge
      3. 3.3 Truisms in the Knowledge Domain
      4. 3.4 Philosophic Validation of Knowledge
      5. 3.5 Scientific Principles in the Knowledge Domain
      6. 3.6 Processing and Switching of Knowledge
      7. 3.7 Conclusion
      8. References
  9. Part II: Quantitative Aspects of Knowledge
    1. Part II. Quantitative Aspects of Knowledge
    2. 4. Quantization of Knowledge
      1. 4.1 Introduction
      2. 4.2 Analytical Foundation of New Knowledge
      3. 4.3 Quantization of Knowledge
      4. 4.4 Knowledge Systems and Current Sciences
      5. 4.5 Kenergy and Its Role in Knowledge Sciences
      6. 4.6 Formulation and Components of Kenergies
      7. 4.7 Koltage, Kurrent, and Kristance
      8. 4.8 Kower and Kenergy
      9. 4.9 Kenergy Spent and °K Gained
      10. 4.10 Bondages and Relationships
      11. 4.11 Stability of Relationships
      12. 4.12 Conclusion
      13. References
    3. 5. Needs, Resources, Deployment, and Gratification
      1. 5.1 Introduction
      2. 5.2 Needs, Gratification, and Energy
      3. 5.3 Simple Linear Relationships
      4. 5.4 Practical Relationships
      5. 5.5 Complexity of Human Behavior
      6. 5.6 Implications of the Seven Truisms and Time
      7. 5.7 Numerical and Computational Solutions
      8. 5.8 Conclusion
      9. Appendix 5A Computational Inroads into Behavior
      10. 5A.1 Needs, Knowledge, and Objects
      11. 5A.2 A Rational Sequence of Steps
      12. 5A.3 Web of Relationships
      13. 5A.4 Sequence of Steps on Correlated Objects
      14. References
      15. References
    4. 6. Nature, Abundance, and Needs
      1. 6.1 Introduction
      2. 6.2 Actions of Nature and Reaction of Species
      3. 6.3 Balance, Counterbalance, and Rebalance
      4. 6.4 Nature and Abundance
      5. 6.5 Residual Need Intensity and Priorities
      6. 6.6 Normalization of Effort (ΔE)
      7. 6.7 Adaptation Between Nature and Objects
      8. 6.8 Concepts of Need Resolution
      9. 6.9 Conclusion
      10. References
  10. Part III: Knowledge Dynamics
    1. Part III. Knowledge Dynamics
    2. 7. Foundations of Knowledge
      1. 7.1 Human Constructs in Knowledge Structures
      2. 7.2 Infrastructure of Sciences
      3. 7.3 Framework of Knowledge
      4. 7.4 Hierarchies of Objects and Actions
      5. 7.5 Knowledge: A Scientific Entity
      6. 7.6 State of Knowledge
      7. 7.7 Conclusions
      8. References
    3. 8. Flow of Knowledge
      1. 8.1 Introduction
      2. 8.2 The State of an Object
      3. 8.3 Structure of Knowledge
      4. 8.4 Dynamics of Knowledge
      5. 8.5 Feedback and Stability of KCOs
      6. 8.6 Conclusion
      7. References
    4. 9. Design Constructs of a Knowledge Machine
      1. 9.1 Introduction
      2. 9.2 Basis for Processing Knowledge
      3. 9.3 Methodology for Processing Knowledge
      4. 9.4 Practical Use of KMs
      5. 9.5 Conclusions
      6. References
    5. 10. Knowledge Science
      1. 10.1 Foundations of Knowledge Science
      2. 10.2 Knowledge and Signal Processing
      3. 10.3 Irreversibility of Knowledge
      4. 10.4 Iterative Enhancement of Knowledge
      5. 10.5 Dimensions of Knowledge Space
      6. 10.6 Fundamental Overlap in Methodologies
      7. 10.7 Changes Within Interacting Objects
      8. 10.8 Contamination of Knowledge
      9. 10.9 Decontamination of Knowledge
      10. 10.10 Conclusions
      11. Appendix 10.A Use of Knowledge Machines
      12. Appendix 10.B Signal Flow and Knowledge Flow
      13. References
    6. 11. Knowledge Flow in Universities
      1. 11.1 Kenergy Spent by n1 and °K Gained by n2
      2. 11.2 Master’s Degree Education
      3. 11.3 Doctoral Degree Education
      4. 11.4 Basic Relationships for Doctoral Studies
      5. 11.5 Student Priorities and FPs
      6. 11.6 Incubation of Creativity in Universities
      7. 11.7 General Use of KnP Theory or KnP
      8. 11.8 Conclusions
      9. References
      10. Generic References for Chapter 11
  11. Acronyms
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    3. ø
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    31. Z
    32. Greek Symbols