Next Generation Knowledge Machines, 1st Edition

  • Published By:
  • ISBN-10: 0124166695
  • ISBN-13: 9780124166691
  • DDC: 006.332
  • Grade Level Range: College Freshman - College Senior
  • 336 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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This book offers the scientific and mathematical basis to treat and process knowledge as a quantifiable, dimensioned entity. It provides 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 machines. This book ties the basic needs of all human beings to machines that resolve such needs 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.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
About the Author.
Synopsis of the Book.
1: Technological Foundations and Human Aspect of Knowledge.
2: Computational Framework.
3: Human and Social Aspects.
4: Processing, Switching, and Communication of Knowledge.
5: Quantitative Aspects of Knowledge.
6: Quantization of Knowledge.
7: Needs, Resources, Deployment, and Gratification.
8: Nature, Abundance, and Needs.
9: Knowledge Dynamics.
10: Foundations of Knowledge.
11: Flow of Knowledge.
12: Design Constructs of a Knowledge Machine.
13: Knowledge Science.
14: Knowledge Flow in Universities.