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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

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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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"Information Science is on the cusp of defining the transition from Big Data to Knowledge. This movement is being fueled by an urgency in addressing grand challenges in fields as diverse as health, public safety and climate change. Domain experts in these fields are looking to information science to provide a quantitative basis for solving hard problems in their data-intensive fields....Prof. Ahamed´s book represents a rigorous and optimistic declaration of this revolutionary trend. I recommend it heartily to teachers and students in communications and computing, and to those in pursuit of incisive mathematical philosophy." --From the Foreword by Professor Dr. Nikil Jayant, Eminent Scholar (Emeritus), Georgia Research Alliance

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