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Evolution of Knowledge Science,

Edition 1 Myth to Medicine: Intelligent Internet-Based Humanist Machines

Editors: By Syed V. Ahamed

Publication Date: 08 Nov 2016

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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

About the author

By Syed V. Ahamed, Department of Computer Science, City University of New York, New York, USA and Department of Health, University of Medicine and Dentistry, New Jersey, USA

About the AuthorForewordPreface NotePart I. Knowledge, Wisdom and Values Part I SummarySection I. From Early Thinker to Social Scientists Part I, Section I, SummaryChapter 1. Knowledge and Wisdom Across Cultures Chapter Summary1.1 Introduction1.2 Unabated Learning and Unbounded Knowledge1.3 Pearls of Wisdom Along Highways of Time1.4 Need for a Modern Science of Knowledge1.5 Inception and Use of Business Machines1.6 Information and its Current Deployment1.7 Internet and Knowledge RevolutionConclusionsReferencesChapter 2. From Philosophers to Knowledge Machines Chapter Summary2.1 Introduction2.2 From Immanuel Kant to george Herbert Mead2.3 From Henry Ford to Peter DruckerConclusionsReferencesChapter 3. Affirmative Knowledge and Positive Human Nature Chapter Summary3.1 Introduction3.2 Use of Scientific and AI-Based Machines3.3 Duality of Natural Forces and Human Traits3.4 THE Fine Side of Human NatureConclusionsReferencesChapter 4. Negative Knowledge and Aggressive Human Nature Chapter Summary4.1 Introduction4.2 The Coarse Side of Human Nature4.3 The Abuse of Information and Knowledge4.4 Indulgence of Societies in Negative Social Settings4.5 Deception and Cowardice in Humans4.6 Negative Social Change: Deterioration and Decay4.7 Social Decay of Nations and CulturesConclusionsReferencesChapter 5. Role of Devices, Computers and Networks Chapter Summary5.1 Introduction5.2 Devices, Machines, Humans, and Social Realities5.3 Reality and Oscillation of Social Norms5.4 Typical Global Shifts in Societies and Nations5.5 Oscillation of Social NormsConclusionsReferencesSection II. Information Machines and Social Progress Part I, Section II, SummaryChapter 6. Recent Changes to the Structure of Knowledge Chapter Summary6.1 Introduction6.2 Individual Needs and Evolving Machines6.3 Corporate Needs and Human Machine Interactive Systems6.4 Knowledge-Based Computational Platforms for Organizations6.5 Generality of the Knowledge-Based Approach6.6 Transactions Management MachineConclusionsReferencesChapter 7. Origin and Structure of Knowledge Energy Chapter Summary7.1 Introduction7.2 Need Theory Basis for Knowledge-Based Solutions7.3 Seminal Energy for Change in the Knowledge Domain7.4 Optimal Search for Nos, Vfs, and *S7.5 Customized Cases for Individuals, Corporations, and Societies7.6 Convergence of Needs in Humans and Artificial Knowledge in MachinesConclusionsReferencesChapter 8. Bands of Knowledge Chapter Summary8.1 Introduction8.2 Needs to Motivate and Society to Constrain8.3 Iterative Convergence for Optimization8.4 Knowledge Machine Programming for a Given ObjectiveConclusionsAppendix 8 AReferencesChapter 9. Frustums of Artificial Behavior Chapter Summary9.1 Introduction9.2 Frustums and Their Volume9.3 The Degeneration of Knowledge9.4 Content-Based Internet Knowledge Filters9.5 General Deployment of Knowledge FiltersConclusionsReferencesChapter 10. Computer-Aided Knowledge Design and Validation Chapter Summary10.1 Introduction10.2 Major Procedural Steps10.3 Blend and Process Input, Local, and Internet Knowledge10.4 Generate Newly Synthesized Knowledge – Bok’10.5 Rationality and Scoring of New Knowledge – Bok’10.6 Machine Configurations10.7 Convolutions and their Options10.8 ConclusionsReferencesSection III. Knowledge Science and Social Influence Part I, Section III, SummaryChapter 11. Knowledge and Information Ethics Chapter Summary11.1 Introduction11.2 Knowledge Processing in Networks11.3 Knowledge Machines to Damp Internet Opportunism11.4 A Stable Social BalanceConclusionsReferencesChapter 12. From Primal Thinking to Potential Computing Chapter Summary12.1 Introduction12.2 From Attainment to Philosophy12.3 The Inception of the Digital Age (Rows 5 to 7 of Table Ib)12.4 Differences Between Information and Knowledge Machines12.5 The Impact of Digital Domains on Extended Information12.6 Action [(Vf)* Upon *Object (No)] Based OperationsConclusionsReferencesChapter 13. Action (VF) ¿ (*) ¿ Object (NO) Based Processors and Machines Chapter Summary13.1 Introduction13.2 Human Transactions and Social Progress13.3 Instructions and Processors for Humanistic Functions13.4 Architectural Configurations of Advanced Processors13.5 Social ProcessingConclusionsReferencesChapter 14. Aphorism and Truism in Knowledge Domain Chapter Summary14.1 Introduction14.2 Foundations of Social Interactions14.3 Recent Changes in the Social Settings14.4 Axioms for Dealing with Social Objects14.5 Social Media and Human Interactions14.6 Separation of Emotion and Reason on an Integrated BasisConclusionsReferencesAppendix 14A.1 Interpolation of Social SignalsAppendix 14A.2 Verb-Force Function and Change of Noun ObjectsAppendix 14A.3 Electrical Systems AnalogyAppendix 14A.4 Extrapolation into Social SystemsChapter 15. Timing Sequences and Influence of Time Chapter Summary15.1 Introduction15.2 Inclusion of Time in Social Transactions15.3 Five Basic Truisms and their Implications15.4 Time, Transactions, and Oscillations15.5 Mediation by Knowledge/Social MachinesConclusionsReferencesPart II. Summary From Internet-Based Systems to Medical MachinesSection I. The Scientific basis for Knowledge Flow Part II, Section I, SummaryChapter 16. General Flow Theory of Knowledge Chapter Summary16.1 Introduction16.2 The State of an Object16.3 Combined Kenergy and Kentropy of Objects16.4 Structure of Knowledge16.5 Flow-Dynamics of KnowledgeConclusionsReferencesChapter 17. Transmission Flow Theory of Knowledge Chapter Summary17.1 Introduction17.2 The Complexity of Knowledge Space17.3 Physical Space and Mental Space17.4 Reality and its Mental Portrait17.5 The Transmission Aspects of Knowledge17.6 Feedback and Stability of KCO's17.7 Knowledge Flow and Distortions in Social Media17.8 Flow of Information and KnowledgeConclusionsReferencesChapter 18. Quantum Flow Theory of Knowledge Chapter Summary18.1 Introduction18.2 Representation of the General Format of Interactions18.3 Atomic/Molecular Weight of Kels in Society18.4 Statistical Properties of Kels and Kcos in SocietyConclusionsReferencesChapter 19. Inspiration Flow Theory of Knowledge Chapter Summary19.1 Introduction19.2 Transference of Knowledge19.3 Inspirational Aspects in the Flow of Knowledge19.4 Positive Inspirations (Portrait of Progress)19.5 Negative Desperation (Portraits of Deception)ConclusionsReferencesChapter 20. Dynamic Nature of Knowledge: Fragmentation and Flow Chapter Summary20.1 Introduction20.2 Fragmentation of Knowledge into its Elements20.3 Representation of the General Format of InteractionsConclusionsReferencesSection II. Preface Part II, Section II, SummaryChapter 21. Knowledge Potential and Utility Chapter Summary21.1 Introduction21.2 Representation of Generic Format of Interactions21.3 Knowledge Acquisition in Institutions21.4 Graduate EducationConclusionsReferencesChapter 22. Elements of Knowledge as Elements in Nature Chapter Summary22.1 Introduction22.2 Quantization of Knowledge22.3 Molecular Weights of Carbon Compounds and Larger Knowledge ElementsConclusionsReferencesChapter 23. Knowledge Element Machine Design: Pathways of Knowledge in Machines Chapter Summary23.1 Introduction23.2 The Nature of a Knowledge Element (Kel)23.3 Programmability and Deployment of Kels23.4 The Architecture of a Kel Machine23.5 Social Impact of Knowledge-Based MachinesConclusionsReferencesChapter 24. Elements of Knowledge in Societies Chapter Summary24.1 Introduction24.2 Incorporation of Human Factors24.3 Adaptation by the Machine24.4 The Positive and Benevolent Side of Human Activity24.5 The Negative and Destructive Side of Human Activity24.6 Internet-Based Knowledge Positioning System (KPS)24.7 Instability During Disorder and ChaosConclusionsReferencesChapter 25. Role of Human Discretion in Society and Its Impact on Ecosystems Chapter Summary25.1 Introduction25.2 Longevity of Ecosystems25.3 The Seven Nodes Toward Positive Social Change25.4 Seven Nodes Toward Negative Social ChangeConclusionsReferencesSection III. Preface Part II, Section III, SummaryChapter 26. Scientific Foundations of Knowledge Chapter Summary26.1 Introduction26.2 Infrastructure of Sciences26.3 Platform of Pure Sciences26.4 Role of Thermodynamics26.5 Platform of Social Science26.6 Framework of Knowledge26.7 Hierarchies of Objects and Actions26.8 Knowledge: a Scientific Entity26.9 State of KnowledgeConclusionsReferencesChapter 27. Real Space, Knowledge Space and Computational Space Chapter Summary27.1 Introduction27.2 Anatomy of Social Interactions27.3 Symbolic Representations of Interactions27.4 The Arrow Symbol and its Variations27.5 Seven Concurrent and Coexisting Spaces27.6 The Hierarchy of Spaces27.7 Switched Network Connectivity in CommunicationsConclusionsReferencesAppendix 27A Symbols for Knowledge SpaceChapter 28. General Structure of Knowledge (no*¿ vf and vf*¿ no) Chapter Summary28.1 Introduction28.2 Methodology Based on Communication Science28.3 Seven Basic Questions to Complete Knowledge28.4 Zero, Partial, and Imperfect Knowledge Syndrome28.5 Complete Knowledge and Knowledge Matrix (Kmat)ConclusionsReferencesChapter 29. The Architecture of a Mind-Machine Chapter Summary29.1 Introduction29.2 The Conceptual Framework29.3 Seven Hierarchical Spaces29.4 Details of Knowledge Space(S) in the Mind-Machine29.5 The Architectural Hardware29.6 The Internet Paradigm29.7 A Derived Medical MachineConclusionsReferencesChapter 30. The Architecture of a Medical Machine Chapter Summary30.1 Introduction30.2 Eight Stages in the Life of Any Knowledge Cycle30.3 Medical Machines in Internet Society30.4 Existing Medical Expertise and its Deployment30.5 Micro-, Mini-, and Mainframe Medical Machines30.6 Framework of Network-Based Medical Environment (Nbme)30.7 Generic Medical Systems and their Networks30.8 Med-Bots Flowcharts: Procedures and Sub-ProceduresConclusionsReferencesAcronyms for Knowledge Science AcronymsEpilogue: Transitional Knowledge Field Theory (KFT) Epilogue SummaryE.1 IntroductionE.2 Marshal and Newton into Knowledge SpaceE.3 Noun-Object and Verb-Function Field GroupsE.4 Contour of Universal But Illusive KnowledgeE.5 Overlap Between Physics and Knowledge ScienceE.6 Role of Grad, Div, Curl, Curl-Of-Curl in the Knowledge DomainE.7 Laplace and Poisson Equations in Knowledge SpacesConclusionsConcluding RemarksAppendix EA Vector Operators in Knowledge DomainAppendix EB Laplace and Poisson Equations in Knowledge DomainIndex

Book Reviews

"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

ISBN: 9780128054789

Page Count: 578

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