Evolution of Knowledge Science

Syed V. Ahamed taught at the University of Colorado for 2 years before joining Bell Laboratories. After 15 years of research, he returned to teaching as a Professor of Computer Science at the City University of New York. The author has been a Telecommunications consultant to Bell Communications Research, AT&T Bell Laboratories and Lucent Technologies for the last 25 years. He received numerous prizes for his papers from IEEE. He was elected a Fellow of the IEEE for his seminal contribution to the simulation and design studies of the High-speed Digital Subscriber Lines. He has authored and coauthored several books in two broad areas of intelligent AI-based broadband multimedia networks and computational framework for knowledge.

• Part I: Knowledge, Wisdom and ValuesSection I: From Early Thinker to Social ScientistsChapter 1. Knowledge and Wisdom Across CulturesChapter 2. From Philosophers to Knowledge MachinesChapter 3. Affirmative Knowledge and Positive Human NatureChapter 4. Negative Knowledge and Aggressive Human NatureChapter 5. Role of Devices, Computers and NetworksSection II: Information Machines and Social ProgressChapter 6. Recent Changes to the Structure of KnowledgeChapter 7. Origin and Structure of Knowledge EnergyChapter 8. Bands of KnowledgeChapter 9. Frustums of Artificial BehaviorChapter 10. Computer-Aided Knowledge Design and ValidationSection III: Knowledge Science and Social InfluenceChapter 11. Knowledge and Information EthicsChapter 12. From Primal Thinking to Potential ComputingChapter 13. Action (VF) → (*) ← Object (NO) Based Processors and MachinesChapter 14. Aphorism and Truism in Knowledge DomainChapter 15. Timing Sequences and Influence of TimePart II: SummarySection I. The Scientific basis for Knowledge FlowChapter 16. General Flow Theory of KnowledgeChapter 17. Transmission Flow Theory of KnowledgeChapter 18. Quantum Flow Theory of KnowledgeChapter 19. Inspiration Flow Theory of KnowledgeChapter 20. Dynamic Nature of Knowledge: Fragmentation and FlowSection II: PrefaceChapter 21. Knowledge Potential and UtilityChapter 22. Elements of Knowledge as Elements in NatureChapter 23. Knowledge Element Machine Design: Pathways of Knowledge in MachinesChapter 24. Elements of Knowledge in SocietiesChapter 25. Role of Human Discretion in Society and Its Impact on EcosystemsSection III: PrefaceChapter 26. Scientific Foundations of KnowledgeChapter 27. Real Space, Knowledge Space and Computational SpaceChapter 28. General Structure of Knowledge (no*→ vf and vf*→ no)Chapter 29. The Architecture of a Mind-MachineChapter 30. The Architecture of a Medical Machine

"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