Evolution of knowledge science myth to medicine : intelligent internet-based humanist machines

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...

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Detalles Bibliográficos
Otros Autores: Ahamed, Syed V., author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Amsterdam, [Netherlands] : Morgan Kaufmann 2017.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630084906719
Tabla de Contenidos:
  • Front Cover
  • Evolution of Knowledge Science
  • Copyright Page
  • Contents
  • About the Author
  • Foreword
  • Preface
  • I. Knowledge, Wisdom and Values
  • I. From Early thinker to Social Scientists
  • 1 Knowledge and Wisdom Across Cultures
  • 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
  • 1.6.1 Mostly Human: Senate, Legal, and Judiciary Use
  • 1.6.2 Current - Organizational (Un, Church, Religious)
  • 1.6.3 Evolving Use of Social Machines
  • 1.6.4 Use of Federal and Legal Machines
  • 1.7 Internet and Knowledge Revolution
  • Conclusions
  • References
  • 2 From Philosophers to Knowledge Machines
  • 2.1 Introduction
  • 2.2 From Immanuel Kant to george Herbert Mead
  • 2.2.1 Kant as a Meta-Physicist
  • 2.2.2 Mead as a Social Psychologist
  • 2.3 From Henry Ford to Peter Drucker
  • 2.3.1 Ford and Model T Automobiles
  • 2.3.2 Drucker and Management Sciences
  • 2.3.3 The Unison of Social Sciences and Physical Sciences
  • 2.3.4 Machine Architecture from Knowledge Functions
  • 2.3.5 Generalization of the Structure of Knowledge Science
  • Conclusions
  • References
  • 3 Affirmative Knowledge and Positive Human Nature
  • 3.1 Introduction
  • 3.2 Use of Scientific and AI-Based Machines
  • 3.2.1 Evolving Use of Knowledge and Internet Machines
  • 3.2.2 Incremental Changes in Society
  • 3.3 Duality of Natural Forces and Human Traits
  • 3.4 THE Fine Side of Human Nature
  • 3.4.1 Integrated Changes in Society
  • 3.4.2 Gradual Transition in the Knowledge Domain
  • 3.4.3 Positive Social Change: Betterment and Enhancement
  • Conclusions
  • References
  • 4 Negative Knowledge and Aggressive Human Nature
  • 4.1 Introduction
  • 4.2 The Coarse Side of Human Nature.
  • 4.3 The Abuse of Information and Knowledge
  • 4.3.1 Projected Use of Machines to Block Human Abuse
  • 4.3.2 Abuse of Machines Against Humans
  • 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
  • Conclusions
  • References
  • 5 Role of Devices, Computers and Networks
  • 5.1 Introduction
  • 5.2 Devices, Machines, Humans, and Social Realities
  • 5.2.1 Beneficial and Constructive Role
  • 5.2.2 Detrimental and Exploitive Role
  • 5.3 Reality and Oscillation of Social Norms
  • 5.3.1 Social Energy and Ensuing Shifts
  • 5.3.2 Change in the Four (K, C, W, and E) Spaces
  • 5.3.3 Noise in the Social Setting
  • 5.4 Typical Global Shifts in Societies and Nations
  • 5.5 Oscillation of Social Norms
  • 5.5.1 Social Lais Sez-Faire
  • 5.5.2 Social Supervision
  • Conclusions
  • References
  • II. Information Machines and Social Progress
  • 6 Recent Changes to the Structure of Knowledge
  • 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
  • Conclusions
  • References
  • 7 Origin and Structure of Knowledge Energy
  • 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
  • Conclusions
  • References
  • 8 Bands of Knowledge
  • 8.1 Introduction
  • 8.2 Needs to Motivate and Society to Constrain
  • 8.2.1 Actions, Objects, Events, and Time.
  • 8.2.2 Universal Theme Behind Human Action-Reaction Processes
  • 8.2.3 Human Action-Reaction Process: Never Equal and Opposite
  • 8.3 Iterative Convergence for Optimization
  • 8.4 Knowledge Machine Programming for a Given Objective
  • Conclusions
  • Appendix 8 A
  • References
  • 9 Frustums of Artificial Behavior
  • 9.1 Introduction
  • 9.1.1 Artificial Knowledge
  • 9.1.2 Mechanized Generation of Knowledge
  • 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
  • Conclusions
  • References
  • 10 Computer-Aided Knowledge Design and Validation
  • 10.1 Introduction
  • 10.2 Major Procedural Steps
  • 10.2.1 Fragment the Input Seminal Body of Knowledge Bok
  • 10.2.2 Internet-Based Dds/Loc Search for Classification of Vfs, *S, Nos
  • 10.2.2.1 Determine and list nos, Vfs, and *S of bok, local, and internet
  • 10.2.2.2 Compare NOs, VFs, and *s of bok, local, and internet
  • 10.2.2.3 Filtering of NOs, VFs, *s, and concepts that tie them
  • 10.2.2.4 Rationality and contextual check of NOs, VFs, and *s
  • 10.2.2.5 Scoring and quality based on internet KB's
  • 10.2.2.6 Evaluate and grade the inputs
  • 10.2.2.7 Threshold limits and probabilities
  • 10.3 Blend and Process Input, Local, and Internet Knowledge
  • 10.3.1 Relax Nos, Relax Vfs, and Relax *S
  • 10.3.2 Iterative Techniques for the Computer-Based Solutions
  • 10.3.3 Iterative Convergence of Parameters Within Micro Kels
  • 10.4 Generate Newly Synthesized Knowledge - Bok'
  • 10.4.1 Relaxation of Attributes, Attributes of Attributes
  • 10.4.2 Machine-Based Reassembly of Newly Designed Knowledge - Bok'
  • 10.4.3 Verify the Validity of the Newly Designed Knowledge - Bok'
  • 10.5 Rationality and Scoring of New Knowledge - Bok'
  • 10.6 Machine Configurations.
  • 10.6.1 Iterative Convergence of the "Optimized Body of Knowledge"
  • 10.6.2 Overall Functional Layout of the Knowledge Machine(S)
  • 10.7 Convolutions and their Options
  • 10.7.1 The Mind-Time Convolution
  • 10.7.2 The Mind-Space Convolution
  • 10.7.3 The Mind-Society Convolution
  • 10.8 Conclusions
  • References
  • III. Knowledge Science and Social Influence
  • 11 Knowledge and Information Ethics
  • 11.1 Introduction
  • 11.2 Knowledge Processing in Networks
  • 11.3 Knowledge Machines to Damp Internet Opportunism
  • 11.4 A Stable Social Balance
  • 11.4.1 Maintaining Stability in Personal Lives
  • 11.4.2 Protection from Psychological and Social Isolation
  • 11.4.3 Protection of Values and Family Structure
  • 11.4.4 Enhancements of Educational Standards and Ethics
  • Conclusions
  • References
  • 12 From Primal Thinking to Potential Computing
  • 12.1 Introduction
  • 12.2 From Attainment to Philosophy
  • 12.2.1 The Contributions in the Past (Row 1 of Table Ia)
  • 12.2.2 The Contributions of G. H. MEAD (ROW 2A)
  • 12.2.3 The Contributions of Erich Fromm (Row 2B)
  • 12.2.4 The Contributions of Sigmund Freud (Row 3A)
  • 12.2.5 The Contributions of A. H. Maslow (ROW 3B)
  • 12.2.6 The Pragmatists (Row 4)
  • 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
  • 12.5.1 Positive Events Through the Knowledge Era (Row 5 Table IB)
  • 12.5.1.1 Positive personal migration
  • 12.5.1.2 Positive social migration
  • 12.5.2 Negative Events in the Knowledge Era (Row 6 in Table IB)
  • 12.5.3 Object and Function Basis of Kms in the Society (Row 7 Table IB)
  • 12.6 Action [(VF)* Upon *Object (NO)] Based Operations
  • 12.6.1 Generic Representation Of Vf*No
  • 12.6.2 Processors for Numerous Applications.
  • 12.6.3 Instruction Formats for Cpu Type of Processors (Lowest Level-1)
  • 12.6.4 Instruction Formats for Scientific/Business Applications (Level 2)
  • 12.6.5 Instruction Formats for Internet-Based and Object-Oriented Applications (Level-3)
  • 12.6.6 Instruction Formats for Individual Knowledge and Information Type of Personal and Social Applications (Level-4)
  • 12.6.7 Instruction Formats for Concepts and Wisdom Type of Society, Welfare, Medical, Hospital, and Social Applications (Le...
  • 12.6.8 Instruction Formats for Ethics and Values Applications (Level-6)
  • 12.6.9 Instruction Formats for National, Cultural, Crisis, Social, Applications (Level-7)
  • Conclusions
  • References
  • 13 Action (VF) → (*) ← Object (NO) Based Processors and Machines
  • 13.1 Introduction
  • 13.2 Human Transactions and Social Progress
  • 13.3 Instructions and Processors for Humanistic Functions
  • 13.3.1 Opc-Opr Based Traditional Computer Systems
  • 13.3.2 Opc-Opr Based Objects Oriented Opu Systems
  • 13.3.2.1 SPSO processors and machines
  • 13.3.2.2 MPMO processors and machines
  • 13.4 Architectural Configurations of Advanced Processors
  • 13.4.1 The Knowledge Processor Unit and System
  • 13.4.2 The Medical Processor Unit
  • 13.4.3 The Concept Processor Unit and Concept Machine
  • 13.4.4 The Wisdom Processor Unit and Machine
  • 13.5 Social Processing
  • 13.5.1 Basic Concepts for Design of Spus
  • 13.5.2 Commonality Between Communications and Interactions
  • 13.5.3 Conceptual Framework for Spu Design
  • 13.5.3.1 specialized features of spus
  • 13.5.4 Interactivity Between Human Beings
  • 13.5.5 Gestures/Tokens Exchanged With Kbs and Convolutions
  • 13.5.6 The Effects of the Social Media Characteristics
  • 13.5.7 Programing Framework for the Social Processes
  • 13.5.8 Configuration of a Microprogram-Based Spu
  • 13.5.9 Architecture of a µ-P Based Social Computer.
  • Conclusions.