Intelligent Internet Knowledge Networks: Processing of Concepts and Wisdom
暫譯: 智慧型網際網路知識網絡：概念與智慧的處理

Syed V. Ahamed

Intelligent Internet Knowledge Networks: Processing of Concepts and Wisdom
  • 出版商: Wiley
  • 出版日期: 2006-11-01
  • 售價: $1,311
  • 語言: 英文
  • 頁數: 548
  • 裝訂: Hardcover
  • ISBN: 0471788562
  • ISBN-13: 9780471788560

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Introducing readers to the basic concepts in total program control of the intelligent agents and machines, Intelligent Internet Knowledge Networks explores the design and architecture of information systems that include and emphasize the interactive role of modern computer/communication systems and human beings. Here, readers will discover specific network configurations that sense environments.

 

Table of Contents

Foreword.

Preface.

Introduction.

PART I HUMAN THOUGHT AND MACHINE PROCESS.

Chapter 1 Processing of Knowledge.

1.1 Introduction.

1.2 The Basis of New Machines.

1.3 Classical Computing Environments.

1.4 Newer Computing Environments.

1.4.1 Telecommunications Applications.

1.4.2 Medical Applications.

1.4.3 Other Computer-Intensive Systems.

1.5 Object-Oriented Systems.

1.6 Special Purpose Computer Systems.

1.7 Conclusions.

References.

Chapter 2 Network Perspective.

2.1 Evolving Network Architectures.

2.2 Networks for Communication.

2.2.1 Copper in Networks.

2.2.2 Microwaves in Networks.

2.2.3 Fiber Optics in Networks.

2.3 Transmission in Optical Network.

2.4 The SONET Standard.

2.5 SONET Architectures.

2.6 ATM Concepts.

2.7 Expectations from Modern Network.

2.7.1 Specific Applications.

2.7.2 Special-Purpose LANs and Generic Backbones.

2.8 Architectural Commonality.

2.8.1 The All-Internet Solution.

2.8.2 The All-Private Network.

2.8.3 Integrated Network Architectures and Internet.

2.9 Intelligent Networks.

Control and Sequencing of Functions.

Communication of Data and Control Signals.

Computation, Address Lookup and Dynamic Routing.

Logical Channel Switching.

2.9.1 Intelligent Networks Defined.

2.9.2 Specific Building Blocks of Intelligent Networks.

2.9.2.1 Service Switching Point (SSP).

2.9.2.2 Service Control Point (SCP).

2.9.2.3 Signal Transfer Point (STP).

2.9.2.4 Service Management System (SMS).

2.9.2.5 Intelligent Peripheral (IP).

2.9.2.6 CCIS Network.

2.9.2.7 Functionality of IN Components.

2.9.3 Seamless Networks.

2.10 Database Management.

2.10.1 Data Management in Intelligent Networks.

2.10.2 Data Management for DSL Development.

2.10.2.1 Permanent Databases.

2.10.2.2 Program Databases.

2.10.2.3 Postprocessing Program Databases.

2.10.2.4 Pictorial Databases.

2.10.2.5 Intermediate Databases.

2.10.3 Data Management for Lightwave Systems.

2.10.3.1 Vendor Databases for Lightwave Systems.

2.1 0.3.2 Program Databases for Lightwave Systems.

References.

Chapter 3 Embedded Intelligence.

3.1 Search for Knowledge.

3.1.1 Intelligent Internet Defined.

3.1.2 Intelligent Internet from Intelligent Network Platform.

3.2 Peripherals and Interfaces.

3.3 Generic Medical Networks.

3.3.1 Hospital-based Medical Networks.

3.3.2 Architectural Considerations.

3.3.3 Architectures for Telemedicine.

3.3.4 MSP-Based Medical Network.

3.3.4.1 Integration of Medical Networks.

3.3.4.2 Status Quo of the Medical Network Environments.

3.3.4.3 Intelligent Medical Network or MSP-based Intelligent Internet.

3.3.4.4 Proposed MSP Network Configuration.

3.3.4.5 MSP-Based Network or the Internet.

3.3.4.6 Knowledge-Based Programmable MSP Architectures.

3.4 Generic Educational Network.

3.4.1 Network-Based Intelligent Educational Networks.

3.4.2 Network Architecture for Distance Learning.

3.4.3 Design Considerations of Network-based Educational Systems.

3.4.4 Features Common to Educational Environments.

3.4.5 Role of Networks in Educational Environments.

3.4.6 Role of Knowledge Bases in Educational Environments.

3.5 Architecture for Electronic Government.

3.5.1 Control, Coordination, and Flow of Information.

3.5.2 Configuration of an EG Platform for a Small Nation.

3.6 Billing Systems.

3.6.1 Interoperability of Databases and Data Formats.

3.6.2 Service Options.

3.6.3 Other Market Demands and Their Influence on Telco Databases.

3.7 Knowledge Bases.

References.

PART I1 STABILITY OF ENVIRONMENTS.

Chapter 4 Sensing and Monitoring Networks.

4.1 Basic Concepts for Sensing.

4.2 Users, Intelligence, and Databases.

4.2.1 Network Segment Dealing with User Dialogue.

4.2.2 Network Segment Dealing with Knowledge and Intelligence.

4.2.3 Network Segment Dealing with Databases and Data Management.

4.3 Details of Flow of Information.

4.4 Deployment of Switch Architecture.

4.5 Adjunct Processes in the Switches.

4.6 Conclusions.

References.

Chapter 5 Intelligent Knowledge Sharing.

5.1 Internet Knowledge Sharing.

5.2 KBs for Technology Transfer.

5.3 Current Knowledge Networks.

5.3.1 IN and KSP-Based Intelligent Internet.

5.3.2 Proposed Technology Transfer Network.

5.3.3 Merits of KSP-Based Network.

5.3.4 Programmable KSP-Based Network Architectures.

5.4 KBs in Hospital Networks.

5.4.1 Global Medical Network Environment.

5.4.2 MSP-Based Intelligent Internet.

5.4.3 Configurations of the Machine.

5.4.3.1 Level I-Routine Medical Functions.

5.4.3.2 Level 11-Machine Assisted Human Functions.

5.4.3.3 Level 111-Expert Medical Functions.

5.5 Knowledge-Based Processes.

5.5.1 Intelligent Networks for Telemetry and Data Processing.

5.5.2 A Confluence of Four Disciplines.

5.5.3 Implementation.

5.5.4 The Architecture Dealing with Sensors, Intelligence and Databases.

5.5.5 Program and Data Management in the KPS.

5.6 Conclusions.

References.

Chapter 6 Intelligent Control Systems.

6.1 Applications.

6.2 Sensed Parameters as "Objects".

6.3 Deployment of Intelligent Control.

6.3.1 Sensing Network Response Complex Via the Sensors.

6.3.2 Configuration of the Transaction Management Machine (TMM).

6.3.3 Functions of the Database Management Machine (DBM).

6.3.4 Functions of DBM and KMM, Specific to Inventory Control.

6.4 Control of a National Economy.

6.4.1 Sensing Network Response Complex Via the Sensors.

6.4.2 Configuration of the Transaction Management Machine (TMM).

6.4.3 Interaction with Knowledge Management Machine (KMM).

6.4.4 Functions of DBM to Monitor National Economy.

6.4.5 Functions of KMM to Monitor National Economy.

6.5 Sensing Network to Replace Middle Management of a Corporation.

6.5.1 Flowchart of Events for Routine Activity.

6.6 Conclusions.

References.

Chapter 7 Audio-Visual Sensing in Humans.

7.1 The Human Ear as the Processor.

7.2 'The Rules of Audio Language.

7.2.1 Ground Rules.

7.2.2 Audio Language for the Language Learners.

7.2.3 A Programmable Audio and Visual Menu for Every User.

7.3 Computer and Audio-Visual Languages.

7.4 Conclusions.

References.

PART I11 HUMAN THOUGHT AND MACHINE PROCESS.

Chapters 8 Framework for Processing Knowledge.

8.1 Knowledge Processing Environments.

8.1.1 Conventional Processing from Computing Systems.

8.1.2 Call Processing from Telecommunication Systems.

8.1.2.1 Earlier Configurations of Channel Banks.

8.1.3 Knowledge Service Processing from Intelligent Networks.

8.1.3.2 Knowledge Transfer Points (KTP) for Knowledge Environments.

8.1.3.3 Knowledge Control Points (KCP) for Knowledge Environments.

8.1.3.4 Knowledge Services Control Points (KSCPs) for Knowledge Environments.

8.2 Platform of KPS from Computer Systems and ESS.

8.2.1 Communication Module (CM) of KPS.

8.2.2 Switching Module (SM) of the KPS.

8.2.3 Administrative Module (AM) of the KPS.

8.2.4 Knowledge Module (KM) of the KPS.

8.3 Role of the Knowledge Processor Unit (KPU).

8.3.1 Processor Environments.

8.3.2 Multiprocessor-Based Environments.

8.4 Alternate Architectures.

8.5 A Multifunctional Intelligent Network.

8.5.1 Integrated Design Approach.

8.5.2 Proposed Architecture.

8.6 Certainty in Knowledge Processing.

8.6.1 Knowledge Processing System Based on Uncertainty.

8.6.2 Basic Building Blocks.

8.6.2.1 Database Unit (DBU).

8.6.2.2 Knowledge Processor Unit (KPU).

8.6.2.3 Numerical Processor Unit (NPU).

8.6.3 Block Diagram of the KPS.

8.6.4 KPU Execute Cycle.

8.6.4.1 "Fetch" of KPU Instruction.

8.6.4.2 The "Decode" of KPU Instruction.

8.6.4.3 "Object Operand Fetch" of KPU Instruction.

8.6.4.4 The "Execute" of KPU Instruction.

8.6.5.5 "Store" the Result of KPU Instruction.

8.6.6 DBU and Its Functionality.

8.6.7 The "Fuzzy" NPU.

8.6.8 Fuzzy Hamming Distance and Its Iterative Control.

8.6.9 Design and Implementation of the System.

8.6.10 Program Execution Mode of the KPU.

8.6.10.1 Execution Sequence for External "Object" Programs.

8.6.10.2 Execution Sequence for Internally Generated Programs.

8.6.1 1 Learning Mode of the KPU.

8.6.12 Program Execution Sequence in the Learning Mode.

8.7 Conclusions.

References.

Chapter 9 A New Breed Of Machines.

9.1 Introduction.

9.2 Human Needs and Computer Solutions.

9.3 Development of Machine Instructions.

9.3.1 Human Needs and Computer Languages.

9.3.2 Simple Needs, Simple Solutions.

9.3.3 Complex Needs, Complex Solutions.

9.4 Architectures.

9.5 Conclusions.

References.

Chapter 10 Concepts and Constructs for a Wisdom Machine (WM).

10.1 Introduction.

10.2 Role of Decision Support Systems (DSS).

10.2.1 The 110 Subsystem.

10.2.2 Operational Parameters.

10.2.3 Scientific, Social and Mathematical Models.

10.3 Role of Sensing Networks.

10.3.1 SensorIResponse System.

10.3.2 Current Parameter Database.

10.3.3 Knowledge, Information, and Models Databases.

10.4 Role of Accumulated Knowledge.

10.5 Confidence in the Results.

10.6 The Realm of Reality.

10.7 Typical Computer Functions in the WM.

10.7.1 Dialog Processor (Subsystem 1).

10.7.2 Database (DB) Administrator (Subsystem 2).

10.7.3 Knowledge Base (KB) Administrator (Subsystem 3).

10.8 Human Intervention.

10.8.1 Symbols and Equations (Subsystem 4).

10.8.2 Axiomatic Tools (Subsystem 5).

10.8.3 Hypothesis Testing (Subsystem 6).

10.9 A11 Human Functions.

10.10 Architecture.

10.1 1 Frontier of Intelligence into Wisdom.

10.12 Order, Awareness, and Search.

10.13 Conclusions.

References.

Chapter 11 Knowledge Environments.

1 1.1 Introduction.

1 1.2 Knowledge Systems.

1 1.2.1 C&C Checker.

1 1.2.2 Functions of the C&C Checker.

11.2.3 Role of Switching Systems.

1 1.3 Knowledge Communication Systems (KCSS).

1 1.3.1 Communication Module of KCS.

1 1.3.2 Switching Module of KCS.

1 1.3.3 Administrative Module of the KCS.

1 1.3.4 Intelligent Network Aspects in KCS.

11.3.5 Khowledge Control Points in KCS.

1 1.4 Knowledge Processing Systems (KPSs).

1 1.4.1 Programmable Steps for KPU.

1 1.4.2 Computer Processor Environments.

1 1.4.3 Knowledge Processing.

1 1.4.4 Low-Level Single KCPU Knowledge Machine.

1 1.4.5 Multiple KCPU Knowledge Machine.

1 1.4.6 Object-Based Knowledge Machine.

1 1.5 IN and IK-Based KPS (I2-KPS).

1 1.6 IN and IN-Based, Intelligent KPS (I3-KPS).

1 1.7 Wafer Level Knowledge Machines.

11.7.1 Object Processes and Knowledge Processes.

1 1.7.2 KOP Specific Processor Arrays.

11.7.3 Object Processors.

11.7.4 Advanced Knowledge Processing Unit.

1 1.7.5 Wafer Level Knowledge Machine.

1 1.8 Conclusions.

References.

Chapter 12 Wealth of Knowledge.

12.1 Introduction.

12.2 Truisms in Information Domain.

12.3 Philosophic Validation.

12.4 Scientific Principles.

12.5 Economics of Information.

12.6 Integration and Social Change.

12.6.1 Level of (I(o)K).

12.6.2 Propensity of Organizations.

12.7 Theory of Knowledge.

12.7.1 Algebraic Constructs of Knowledge Theory.

12.7.2 Systemic Limitations of Knowledge Systems.

12.8 Processing of Information.

12.9 Economics of Knowledge.

12.9.1 Diminishing Value of Knowledge.

12.9.2 Economic Life of Inventions.

12.9.3 Impact of High-speed Networks on Human Behavior .

12.10 Conclusions.

References.

PART IV PERSISTENT MINDS AND TIRELESS MACHINES.

Chapter 13 Human Needs and Machines.

13.1 From AI toBI.

13.1.1 An Imitation of Human Behavior?

13.1.2 Sigmund Freud's Contributions.

13.1.3 Carl Jung's Contributions.

13.1.4 Eric Berne's Contributions.

13.1.5 Abraham Maslow's Contributions.

13.2 Inadequacy of Earlier Models.

13.2.1 Two Additional Levels.

13.3 The Need to Search (Sixth Level).

13.4 The Need to Unify (Seventh Level).

13.5 A Model of Human Behavior.

13.5.1 Satisfaction of Needs.

13.5.2 Repetition and Boredom at (6).

13.5.3 The New Cycle (1-6) for (i + 1)st Need.

13.5.4 Integrated Patterns for (1-7) Needs.

13.5.5 The Semi-infinite Search Space at Each Level.

13.6 Movement within Pattern (1-9) for Any One Need.

13.7 Oscillations of Behavior.

13.8 Effects of Phasors on Pattern (1-9) of Behavior.

13.10 Conclusion.

References.

Chapter 14 The Practice of Wisdom.

14.1 The Human Aspects.

14.2 The Sources of Wisdom.

14.3 Viruses in Human Networks.

14.4 Peripheral Accomplices in Human Networks.

14.5 Conviction and Wisdom.

14.6 Modules of Positive Wisdom.

14.6.1 Positive Predisposition of the Human Team.

14.6.1.1 Type A: Individuals Favoring Unrestrained Wisdom.

14.6.1.1 Type B: Individuals Favoring Restrained Wisdom.

14.6.2 Realizations of the Axioms of Positive Wisdom.

14.6.3 Flavors of Positive Wisdom.

14.6.4 Symphony of Positive Wisdom.

14.7 Modules of Negative Wisdom.

14.7.1 Negative Predisposition of the Abuser Team.

14.7.1.1 Type C: War Mongers Favoring Maximal Injury and Destruction.

14.7.1.2 Type D: Thugs Favoring Local and Controlled Injury.

14.7.2 (Derivations of) Statements of Negative Wisdom.

14.7.3 Flavors of Negative Wisdom.

14.7.4 Chaos and Fractals of Negative Wisdom.

14.7.5 Positive and Negative Modes of Wisdom.

14.8 IKW&V Base Management.

14.8.1 Wisdom Base Management (WBM).

14.9 The Economics of IK&W.

14.9.1 The (Shortened) IKWV Chain.

14.10 Conclusions.

References.

Chapter 15 Looking Ahead: Social and Ethical Implications.

15.1 The Knowledge Trail.

15.1.1 Flexible Representation of Objects.

15.1.2 Object Processing Along the Knowledge Trail.

15.2 Role of Humans.

15.2.1 Economic Basis of Human Search.

15.2.2 Conflictive Directions of Human Role.

15.3 Human Discretion: Prophets or Plunderers.

15.3.1 Human, Still the Unknown.

15.3.2 Machine, Still the Mindless.

15.4 A New BDI-K-CWE Trail.

15.4.1 A Simplified Graph Representation.

15.4.2 Movement from Node (i) to Node (i + 1).

15.4.3 Charting of the Knowledge Trail.

15.5 From Bits to Etiquette.

15.6 Migration of Societies under External Influence.

15.6.1 Coefficient of Corruption.

15.6.2 Discrete Event Analysis and PERT.

15.7 Conclusions.

References.

List ofAcronyms for the Entire Book.

Indices.

Classification of Eight Indices.

I-Index of Established Concepts.

11-Index of New Concepts.

111-Index of Human Aspects.

IV-Index for Knowledge.

V-Index of Social Setting.

VI-Index of Technology.

VII-Index of Wisdom.

VIII-Index of Information (Words).

About the Author.

商品描述(中文翻譯)

介紹讀者智能代理和機器的全面程式控制基本概念，《智能互聯網知識網絡》探討了包括現代計算機/通信系統與人類之間互動角色的資訊系統設計與架構。在這裡，讀者將發現能夠感知環境的特定網絡配置。

目錄
前言
序言
介紹
第一部分 人類思維與機器處理
第1章 知識處理
1.1 介紹
1.2 新機器的基礎
1.3 傳統計算環境
1.4 新型計算環境
1.4.1 電信應用
1.4.2 醫療應用
1.4.3 其他計算密集型系統
1.5 物件導向系統
1.6 特殊用途計算機系統
1.7 結論
參考文獻
第2章 網絡視角
2.1 演變中的網絡架構
2.2 通信網絡
2.2.1 網絡中的銅纜
2.2.2 網絡中的微波
2.2.3 網絡中的光纖
2.3 光學網絡中的傳輸
2.4 SONET 標準
2.5 SONET 架構
2.6 ATM 概念
2.7 現代網絡的期望
2.7.1 特定應用
2.7.2 特殊用途局域網和通用骨幹網
2.8 架構共通性
2.8.1 全互聯網解決方案
2.8.2 全私有網絡
2.8.3 整合網絡架構與互聯網
2.9 智能網絡
功能的控制與排序
數據與控制信號的通信
計算、地址查找與動態路由
邏輯通道切換
2.9.1 智能網絡的定義
2.9.2 智能網絡的特定組件
2.9.2.1 服務切換點 (SSP)
2.9.2.2 服務控制點 (SCP)
2.9.2.3 信號轉移點 (STP)
2.9.2.4 服務管理系統 (SMS)
2.9.2.5 智能外圍設備 (IP)
2.9.2.6 CCIS 網絡
2.9.2.7 IN 組件的功能
2.9.3 無縫網絡
2.10 數據庫管理
2.10.1 智能網絡中的數據管理
2.10.2 DSL 開發的數據管理
2.10.2.1 永久數據庫
2.10.2.2 程式數據庫
2.10.2.3 後處理程式數據庫
2.10.2.4 圖像數據庫
2.10.2.5 中介數據庫
2.10.3 光波系統的數據管理
2.10.3.1 光波系統的供應商數據庫
2.10.3.2 光波系統的程式數據庫
參考文獻
第3章 嵌入式智能
3.1 知識的搜尋
3.1.1 智能互聯網的定義
3.1.2 從智能網絡平台的智能互聯網
3.2 外圍設備與接口
3.3 通用醫療網絡
3.3.1 基於醫院的醫療網絡
3.3.2 架構考量
3.3.3 遠程醫療的架構
3.3.4 基於 MSP 的醫療網絡
3.3.4.1 醫療網絡的整合
3.3.4.2 醫療網絡環境的現狀
3.3.4.3 智能醫療網絡或基於 MSP 的智能互聯網
3.3.4.4 提議的 MSP 網絡配置
3.3.4.5 基於 MSP 的網絡或互聯網
3.3.4.6 基於知識的可編程 MSP 架構
3.4 通用教育網絡
3.4.1 基於網絡的智能教育網絡
3.4.2 遠程學習的網絡架構
3.4.3 基於網絡的教育系統的設計考量
3.4.4 教育環境的共同特徵
3.4.5 網絡在教育環境中的角色
3.4.6 知識庫在教育環境中的角色
3.5 電子政府的架構
3.5.1 控制、協調與信息流
3.5.2 小國的電子政府平台配置
3.6 計費系統
3.6.1 數據庫與數據格式的互操作性
3.6.2 服務選項
3.6.3 其他市場需求及其對電信數據庫的影響
3.7 知識庫
參考文獻
第二部分 環境的穩定性
第4章 感知與監控網絡
4.1 感知的基本概念
4.2 用戶、智能與數據庫
4.2.1 處理用戶對話的網絡區段
4.2.2 處理知識與智能的網絡區段
4.2.3 處理數據庫與數據管理的網絡區段
4.3 信息流的細節
4.4 交換架構的部署
4.5 交換機中的附加過程
4.6 結論
參考文獻
第5章 智能知識共享
5.1 互聯網知識共享
5.2 技術轉移的知識庫
5.3 當前的知識網絡
5.3.1 基於 IN 和 KSP 的智能互聯網
5.3.2 提議的技術轉移網絡
5.3.3 基於 KSP 網絡的優點
5.3.4 可編程的基於 KSP 的網絡架構
5.4 醫院網絡中的知識庫
5.4.1 全球醫療網絡環境
5.4.2 基於 MSP 的智能互聯網
5.4.3 機器的配置
5.4.3.1 一級例行醫療功能
5.4.3.2 二級機器輔助人類功能
5.4.3.3 三級專家醫療功能
5.5 基於知識的過程
5.5.1 用於遙測和數據處理的智能網絡
5.5.2 四個學科的匯流
5.5.3 實施
5.5.4 處理傳感器、智能和數據庫的架構
5.5.5 KPS 中的程式和數據管理
5.6 結論
參考文獻
第6章 智能控制系統
6.1 應用
6.2 作為「對象」的感知參數
6.3 智能控制的部署
6.3.1 通過傳感器感知網絡響應複雜性
6.3.2 交易管理機器 (TMM) 的配置
6.3.3 數據庫管理的功能

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