Intelligent Internet Knowledge Networks: Processing of Concepts and Wisdom

An introduction to wisdom–based computers and networks: the next generation in computing
This revolutionary book introduces wisdom, virtue, values, and ethics within the context of processing data, information, knowledge, and intelligence. The author sets forth a new approach for designing information systems that emphasizes the interaction of modern computers and communication systems with human beings.
In the past, computer system designers and network planners have ignored the knowledge, wisdom, and values that are an essential part of society. This book introduces "wisdom machine," which scans large amounts of Internet data and applies artificial intelligence strategies to filter the data and derive initial knowledge bases. These knowledge bases are reprocessed with human oversight to discover underlying axioms of wisdom and then evaluated to identify a value structure that leads to the greatest benefits to society.
Intelligent Internet Knowledge Networks is a fascinating text that expands your vision of how computers can be programmed and designed. Following the author′s carefully structured logic, you will discover:Basic concepts in total program control of intelligent agents and machinesMethodologies to track actions and decisions within an organization that infringe upon its ethical, legal, and social codes of conductSoftware architectures and hardware configurations that facilitate a consistent and accountable flow of data, information, and proceduresPrograms that learn the consequences of management decisions and use this knowledge to develop guidelines for more effective and ethical proceduresTechnically sound IT platforms that can work for any organization
This is a must–read for all students, researchers, engineers, and executives interested in exploring the potential of the next generation of computers and how they will benefit both their organizations and society.

Spis treści:
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 Picto rial 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 Deal ing 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