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.
1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. About the Author - p. xix 6. Foreword - p. xxi 7. Preface - p. xxiii 8. Part I: Knowledge, Wisdom and Values - p. xxv 9. Part I. Knowledge, Wisdom and Values - p. 1 10. Section I: From Early Thinker to Social Scientists - p. 2 11. Section I. From Early Thinker to Social Scientists - p. 3 12. Chapter 1. Knowledge and Wisdom Across Cultures - p. 5 13. Chapter 2. From Philosophers to Knowledge Machines - p. 23 14. Chapter 3. Affirmative Knowledge and Positive Human Nature - p. 35 15. Chapter 4. Negative Knowledge and Aggressive Human Nature - p. 47 16. Chapter 5. Role of Devices, Computers and Networks - p. 59 17. Section II: Information Machines and Social Progress - p. 69 18. Section II. Information Machines and Social Progress - p. 71 19. Chapter 6. Recent Changes to the Structure of Knowledge - p. 73 20. Chapter 7. Origin and Structure of Knowledge Energy - p. 87 21. Chapter 8. Bands of Knowledge - p. 101 22. Chapter 9. Frustums of Artificial Behavior - p. 113 23. Chapter 10. Computer-Aided Knowledge Design and Validation - p. 129 24. Section III: Knowledge Science and Social Influence - p. 149 25. Section III. Knowledge Science and Social Influence - p. 151 26. Chapter 11. Knowledge and Information Ethics - p. 153 27. Chapter 12. From Primal Thinking to Potential Computing - p. 163 28. Chapter 13. Action (VF) → (*) ← Object (NO) Based Processors and Machines - p. 187 29. Chapter 14. Aphorism and Truism in Knowledge Domain - p. 215 30. Chapter 15. Timing Sequences and Influence of Time - p. 249 31. Part II: Summary - p. 264 32. Part II. Summary - p. 265 33. Section I: The Scientific basis for Knowledge Flow - p. 266 34. Section I. The Scientific basis for Knowledge Flow - p. 267 35. Chapter 16. General Flow Theory of Knowledge - p. 269 36. Chapter 17. Transmission Flow Theory of Knowledge - p. 289 37. Chapter 18. Quantum Flow Theory of Knowledge - p. 309 38. Chapter 19. Inspiration Flow Theory of Knowledge - p. 321 39. Chapter 20. Dynamic Nature of Knowledge: Fragmentation and Flow - p. 339 40. Section II: Preface - p. 348 41. Section II. Preface - p. 349 42. Chapter 21. Knowledge Potential and Utility - p. 351 43. Chapter 22. Elements of Knowledge as Elements in Nature - p. 365 44. Chapter 23. Knowledge Element Machine Design: Pathways of Knowledge in Machines - p. 375 45. Chapter 24. Elements of Knowledge in Societies - p. 385 46. Chapter 25. Role of Human Discretion in Society and Its Impact on Ecosystems - p. 401 47. Section III: Preface - p. 409 48. Section III. Preface - p. 411 49. Chapter 26. Scientific Foundations of Knowledge - p. 413 50. Chapter 27. Real Space, Knowledge Space and Computational Space - p. 431 51. Chapter 28. General Structure of Knowledge (no*→ vf and vf*→ no) - p. 451 52. Chapter 29. The Architecture of a Mind-Machine - p. 465 53. Chapter 30. The Architecture of a Medical Machine - p. 481 54. Acronyms for Knowledge Science - p. 503 55. Epilogue: Transitional Knowledge Field Theory (KFT) - p. 519 56. Index - p. 537
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.
1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. About the Author - p. xix 6. Foreword - p. xxi 7. Preface - p. xxiii 8. Part I: Knowledge, Wisdom and Values - p. xxv 9. Part I. Knowledge, Wisdom and Values - p. 1 10. Section I: From Early Thinker to Social Scientists - p. 2 11. Section I. From Early Thinker to Social Scientists - p. 3 12. Chapter 1. Knowledge and Wisdom Across Cultures - p. 5 13. Chapter 2. From Philosophers to Knowledge Machines - p. 23 14. Chapter 3. Affirmative Knowledge and Positive Human Nature - p. 35 15. Chapter 4. Negative Knowledge and Aggressive Human Nature - p. 47 16. Chapter 5. Role of Devices, Computers and Networks - p. 59 17. Section II: Information Machines and Social Progress - p. 69 18. Section II. Information Machines and Social Progress - p. 71 19. Chapter 6. Recent Changes to the Structure of Knowledge - p. 73 20. Chapter 7. Origin and Structure of Knowledge Energy - p. 87 21. Chapter 8. Bands of Knowledge - p. 101 22. Chapter 9. Frustums of Artificial Behavior - p. 113 23. Chapter 10. Computer-Aided Knowledge Design and Validation - p. 129 24. Section III: Knowledge Science and Social Influence - p. 149 25. Section III. Knowledge Science and Social Influence - p. 151 26. Chapter 11. Knowledge and Information Ethics - p. 153 27. Chapter 12. From Primal Thinking to Potential Computing - p. 163 28. Chapter 13. Action (VF) → (*) ← Object (NO) Based Processors and Machines - p. 187 29. Chapter 14. Aphorism and Truism in Knowledge Domain - p. 215 30. Chapter 15. Timing Sequences and Influence of Time - p. 249 31. Part II: Summary - p. 264 32. Part II. Summary - p. 265 33. Section I: The Scientific basis for Knowledge Flow - p. 266 34. Section I. The Scientific basis for Knowledge Flow - p. 267 35. Chapter 16. General Flow Theory of Knowledge - p. 269 36. Chapter 17. Transmission Flow Theory of Knowledge - p. 289 37. Chapter 18. Quantum Flow Theory of Knowledge - p. 309 38. Chapter 19. Inspiration Flow Theory of Knowledge - p. 321 39. Chapter 20. Dynamic Nature of Knowledge: Fragmentation and Flow - p. 339 40. Section II: Preface - p. 348 41. Section II. Preface - p. 349 42. Chapter 21. Knowledge Potential and Utility - p. 351 43. Chapter 22. Elements of Knowledge as Elements in Nature - p. 365 44. Chapter 23. Knowledge Element Machine Design: Pathways of Knowledge in Machines - p. 375 45. Chapter 24. Elements of Knowledge in Societies - p. 385 46. Chapter 25. Role of Human Discretion in Society and Its Impact on Ecosystems - p. 401 47. Section III: Preface - p. 409 48. Section III. Preface - p. 411 49. Chapter 26. Scientific Foundations of Knowledge - p. 413 50. Chapter 27. Real Space, Knowledge Space and Computational Space - p. 431 51. Chapter 28. General Structure of Knowledge (no*→ vf and vf*→ no) - p. 451 52. Chapter 29. The Architecture of a Mind-Machine - p. 465 53. Chapter 30. The Architecture of a Medical Machine - p. 481 54. Acronyms for Knowledge Science - p. 503 55. Epilogue: Transitional Knowledge Field Theory (KFT) - p. 519 56. Index - p. 537
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