Evolution of Knowledge Science - 1st Edition - ISBN: 9780128054789, 9780128093559

Evolution of Knowledge Science

1st Edition

Myth to Medicine: Intelligent Internet-Based Humanist Machines

Authors: Syed Ahamed
eBook ISBN: 9780128093559
Paperback ISBN: 9780128054789
Imprint: Morgan Kaufmann
Published Date: 8th November 2016
Page Count: 578
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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.

Key Features

  • 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


Graduates, researchers, or professionals in computer science and communication science, especially in knowledge representation, networking and related areas, including those related to education programs

Table of Contents

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


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Morgan Kaufmann
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About the Author

Syed Ahamed

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.

Affiliations and Expertise

Department of Computer Science, City University of New York, New York, USA and Department of Health, University of Medicine and Dentistry, New Jersey, USA


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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