Syed V. Ahamed

Computational Framework for Knowledge (eBook, PDF)

Integrated Behavior of Machines

• Format: PDF

Produktbeschreibung

"Intriguing . . . [filled with] new ideas about overarching intellectual themes that govern our technologies and our society." --Nikil Jayant, Eminent Scholar, Georgia Research Alliance "Dr. Ahamed is correct in observing that 'silicon and glass have altered the rhythm of mind' and that computers need to be more 'human.'" --Bishnu S. Atal, Member, National Academy of Engineering This book combines philosophical, societal, and artificial intelligence concepts with those of computer science and information technology to demonstrate novel ways in which computers can simplify data mining on the Internet. It describes numerous innovative methods that go well beyond information retrieval to allow computers to accomplish such tasks as processing, classifying, prioritizing, and reconstituting knowledge. The book is divided into five parts: * New knowledge sensing and filtering environments * Concept building and wisdom machines * General structure and theory of knowledge * Verb functions and noun objects * Humanistic and semi-human systems This book offers new mathematical methodologies and concrete HW/SW/FW configurations for the IT specialist to help their corporations explore, exploit, compete, and win global market share.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 500
• Erscheinungstermin: 11. August 2009
• Englisch
• ISBN-13: 9780470480410
• Artikelnr.: 37292753

Autorenporträt

Syed V. Ahamed, PhD, DSc, MBA, is Professor Emeritus of Computer Science at CUNY, College of Staten Island, and a Professor of Medical Informatics at the University of Medicine and Dentistry of New Jersey. He has been affiliated with Bell Laboratories, Lucent Technologies, and Bell Labs Innovations for the last forty years. Dr. Ahamed's research includes knowledge machines, IT, MIS, knowledge processing units, and intelligent, medical, and educational networks. He is the author or coauthor of six other books and holds more than twenty U.S. and European patents.

Inhaltsangabe

Forward. Preface. Introduction. Chapter 1: New Knowledge Environments.
Chapter Summary. 1.1 The Need to Know. 1.2 Role of Technology. 1.3
Knowledge and Wealth. 1.4 Evolving Knowledge Environments. 1.5 Structure
and Communication of Knowledge. 1.6 Intelligent Internet And Knowledge
Society. 1.7 Knowledge Networks. 1.8 Conclusions. References. Chapter 2:
Wisdom Machines. Chapter Summary. 2.1 Many Flavors Of Wisdom. 2.2 Three
Orientations Of Wisdom. 2.3 Optimization of Wise Choices. 2.4 Three Level
Functions. 2.5 Knowledge Machines Building Blocks. 2.6 Machine Clusters.
2.7 From Wisdom to Behavior. 2.8 Order, Awareness, and Search. 2.9
Conclusions. References. Chapter 3: General Theory of Knowledge. Chapter
Summary. 3.1 A Basis For Theory Of Knowledge. 3.2 Comprehension, Nature,
and Knowledge. 3.3 Central Processing and Knowledge Processing. 3.4
Accumulation of Information, Knowledge, and Wisdom. 3.5 The Enhanced
Knowledge Trail. 3.6 Sequencing of Events At Nodes. 3.7 Transitions at I,
K, C Nodes. 3.8 Transition Management at Nodes. 3.9 Simplified Transition
Diagram. 3.10 Origin And Destination. 3.11 The Entropy of Knowledge. 3.12
Conclusions. References. Chapter 4: Verb Functions and Noun Objects.
Chapter Summary. 4.1 Positive and Negative Social Forces. 4.2 Framework of
Knowledge. 4.3 Compilation of Knowledge. 4.4 Derivation of Knowledge. 4.5
Knowledge Machine Software Hierarchy. 4.6 Knowledge Hardware And Software
Systems. 4.7 Classical Migration Path Of Knowledge. 4.8 Conclusions.
References. Chapter 5: Humanistic and Semi-Human Systems. 5.0 Chapter
Summary. 5.1 Humanistic Chipsets. 5.2 Essence Of Human Activity. 5.3 Smart
Verbs and Intelligent Nouns. 5.4 Effects of Intelligent Response. 5.5
Gradation of KPU Responses. 5.6 Fragments of Overall Human Activity. 5.7
Dual KPU Human Interaction Model. 5.8 References. Appendix A: Human
Interactions. A.1 Nonlinear Responses. A.2 Oscillatory Response of
Intelligent Objects. Appendix B: Knowledge Machines for Human Interactions.
B.1 KM For Human Interactive Processes. B.2 KM For Labor Management (LM)
Negotiation. B.3 KM For Corporate Interactions. Chapter 6: Information and
Knowledge Filters. Chapter Summary. 6.1 Junk Information and Hype
Knowledge. 6.2 Design of Conventional Signal Filters. 6.3 Signal Waves and
Knowledge Flow. 6.4 The (I (r)¯ K) Filters. 6.5 The Design of (I (r)¯ K)
Filters. 6.6 Configuration of (I (r)¯ K) Systems. 6.7 Selection of NOS And
VFS in Samples. 6.8 Systems for (I (r)¯ K) Filters. 6.9 Four-Port Knowledge
Network. 6.10 Knowledge Gates. 6.11 Contamination of (I (r)¯ K). 6.12
Decontamination of Knowledge. 6.13 Conclusions. References. Appendix A: A
Two-Stage "TR" Filter (Henry Higgins). A.1 T-Zero Filtering And Output
BOK1-T. A.2 R-Zero Filtering And Output BOK1-R. A 3 TR-Zero Filtering And
Output BOK2-Tr. Appendix B: A Three-Stage "Set" Filter (John Tyndall). B.1
S-Zero Filtering And Output BOK1-S. B.2 Generality of Information
Filtering. Appendix C: A Practical Information Filter (Plato and Einstein).
C.1 Application to Three Positive Noun Objects. C.2 Filter Template Based
on TVB. C.3 New Filter Template Based on TVB And Soul. Appendix D:
Application to Three Negative Noun Objects. Chapter 7: Process and Change
Of Entropy. Chapter Summary. 7.1 Actions And Entropy. 7.2 Knowledge Centric
Objects (KCO). 7.3 Classification of KCOS. 7.4 Clusters of Complex KCOS.
7.5 Single Process Kopcodes for Generic KCOS. 7.6 Multiple Process
Instructions. 7.7 Passive Kopcs. 7.8 Active Kopcs. 7.9 Multiple Process
Instructions. 7.10 Iterative And Reflexive Processing. 7.11 Macro
Instructions For KPU. 7.12 KPU Architectures For Kopc01-12 Instructions.
7.13 Conclusions. References. Chapter 8: Knowledge System Architectures.
Chapter Summary. 8.1 From CPU to KPU. 8.2 The Philosophic Dimension. 8.3
Iterative Cyclic Social Processes. 8.4 The Scientific Dimension. 8.5
Varieties of Processors and Machines. 8.6 The Trend of Concepts. 8.7 Recent
Trends Towards Wisdom. 8.8 The Trend of Values and Ethics. 8.9 Conclusions.
References. Chapter 9: Humans, Machines and Networks. Chapter Summary. 9.1
Ethics And Values In High-Tech Society. 9.2 Needs That Drive. 9.3 Networks
That Transport. 9.4 Overlap Of Needs And Networks. 9.5 Rationality of
Humanistic Machines. 9.6 Wisdom Domain and Knowledge Rush. 9.7 Need Pyramid
of a Society. 9.8 Self Perpetuating Power Loops. 9.9 Convergence of K & M
Hierarchies. 9.10 Knowledge Machines on Knowledge. 9.11 Conclusions.
References. Chapter 10: Architecture of Knowledge. Chapter Summary. 10.1 A
New Breed of Knowledge. 10.2 The Knowledge Loop and its Stability. 10.3
Continuity of Knowledge. 10.4 Three Orientations of Wisdom. 10.5 Long-Term
Movements Within The K-Loop. 10.6 Conflictive Roles of TVB??DAH
Orientations. 10.7 Tracking of the K-Loops. 10.8 Details of the Upward
Migration. 10.9 Details of the Downward Migration. 10.10 Knowledge Loops in
X And Y Dimensions. 10.11 Four Ports of Super Node-K. 10.12 Construction of
a Knowledge Plane. 10.13 Knowledge Bases in Primary K-Plane. 10.14
Successive K-Loops In T (Time) Dimension. 10.15 The Nebula of Knowledge
(Knowbula). 10.16 Hindsight and Foresight. 10.17 Knowledge, Freedom and
Creativity. 10.18 Knowledge and Money. 10.19 Pinnacle of Mind and Infinity
of Thought. 10.20 Social Migration and Political Agenda. 10.21 Conclusions.
Acronyms. Index. Author Biography.