Next Generation Knowledge Machines
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Next Generation Knowledge Machines : Design and Architecture

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Description

This book delivers the scientific and mathematical basis to treat and process knowledge as a quantifiable and dimensioned entity. It provides the units and measures for the value of information contained in a "body of knowledge" that can be measured, processed, enhanced, communicated and preserved. It provides a basis to evaluate the quantity of knowledge acquired by students at various levels and in different universities. The effect of time on the dynamics and flow of knowledge is tied to Internet knowledge banks and provides the basis for designing and building the next generation of novel machine to appear in society.

This book ties the basic needs of all human beings to the modern machines that resolve such need based on Internet knowledge banks (KBs) distributed throughout nations and societies. The features of the Intelligent Internet are fully exploited to make a new generation of students and knowledge workers use the knowledge resources elegantly and optimally. It deals with topics and insight into the design and architecture of next-generation computing systems that deal with human and social problems. Processor and Internet technologies that have already revolutionized human lives form the subject matter and the focal point of this book. Information and knowledge on the Internet delivered by next-generation mobile networks form the technical core presented. Human thought processes and adjustments follow the solutions offered by machines.
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Product details

  • Paperback | 336 pages
  • 152 x 229 x 17.78mm | 453.59g
  • United States
  • English
  • Reprint
  • 0128102748
  • 9780128102749

Table of contents

Part I - Technological Foundations and Human Aspect of Knowledge

1. Computational Framework

2. Human and Social Aspects

3. Processing, Switching and Communication of Knowledge

Part II - Quantitative Aspects of Knowledge

4. Quantization of Knowledge

5. Needs, Resources, Deployment and Gratification

6. Nature, Abundance and Needs

Part III - Knowledge Dynamics

7. Foundations of Knowledge

8. Flow of Knowledge

9. Design Constructs of a Knowledge Machine

10. Knowledge Science

11. Knowledge Flow in Universities
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About Syed V. 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.
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