Eldo C. Koenig

Knowledge Structures for Communications in Human-Computer Systems (eBook, PDF)

General Automata-Based

• Format: PDF

Produktbeschreibung

A comprehensive look at General automata and how it can be used to establish the fundamentals for communication in human-computer systems Drawing on author Eldo C. Koenig's extensive expertise and culling from his thirty-four previously published works, this seminal resource presents knowledge structures for communication in Human-Computer Systems (HCS) based on General automata. The resulting model provides knowledge representations for software engineering. Of the many features required for a method to achieve the desired communication in HCS, Knowledge Structures for Communications in Human-Computer Systems identifies six of them in great length-extracting and storing the knowledge of sentences; knowledge association; deductive processes; inferences; feedback; and sequencing of knowledge-along with illustrations for achieving them by the General Automata Method. After presenting the analysis for each feature, the book includes practical applications that illustrate the results. Koenig also describes algorithms and programs that achieve some of the features, and provides readers with additional algorithms and further research. Richly illustrated throughout to elucidate concepts, Knowledge Structures for Communications in Human-Computer Systems is an excellent teaching text suitable for both academic and industrial settings.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 332
• Erscheinungstermin: 20. November 2006
• Englisch
• ISBN-13: 9780470052099
• Artikelnr.: 37290108

Autorenporträt

Eldo C. Koenig began his professional career with the U.S.A. War Department, Manhattan District, in work associated with the atomic bomb. A retired professor of the University of Wisconsin-Madison's computer sciences department, Koenig is an active member of ACM, IEEE Computer Society, and the AAAS. He has published over fifty works pertaining to computers and computing and was the recipient of several prestigious awards, including the Allis-Chalmers Fellowship Award and the Alfred Noble Prize in 1951.

Inhaltsangabe

Preface. 1. Introduction. 1.1 Considerations for Establishing Knowledge
Structures for Computers. 1.2 Knowledge About Automata as a Subset of World
Knowledge. 1.2.1 General Automata. 1.2.2 Extracting and Storing the
Meanings of Sentences. 1.2.3 Associating Knowledge. 1.2.4 Establishing
Conclusions and Inferences. Exercises. 2. A General Automaton. 2.1 Formal
Analysis for a General Automaton. 2.1.1 General Analysis. 2.1.2 Graph
Model. 2.1.3 Select Properties of the Graph Model. 2.2 An Application of
the Disciplines to the Modeling of Natural Automata. 2.2.1 A Case Study.
2.2.2 Required State Changes. 2.2.3 Algorithm for Determining Required
State Changes. Exercises. 3. A General Automaton: Detailed Analysis. 3.1
Distinguishable Receptors and Effectors. 3.2 Nonhomogeneous Environments.
3.3 Transformation Response Components. 3.4 Nonshared Environments
Interpreted as Distinguishable. 3.4.1 Model for Performance in Both Shared
and Nonshared Environments. 3.4.2 Model for Performance in Shared
Environments. Exercises. 4. Processing of Knowledge About Automata. 4.1
Formulation of a Language Information Theory. 4.1.1 Class 1 Sentence. 4.1.2
Class 2 Sentence. 4.1.3 Class 3 Sentence. 4.1.4 Class 4 Sentence. 4.1.5
Class 5 Sentence. 4.1.6 Class 6 Sentence. 4.1.7 Class 7 Sentence. 4.2
Extracting and Storing the Meaning of Sentences by Computer. 4.2.1
Description of an Algorithm. 4.3 Knowledge Association. 4.3.1 Association
by Combining Graphs Through Common Points. 4.3.2 Associations by Combining
Graph (n + 1)-Tuples. 4.3.3 Computer Methods for Association of Knowledge.
4.4 Deductive Processes. 4.4.1 Deductive Processes Related to Association
Through Common Points. 4.4.2 Deductive Processes Related to Association by
Combining Graph Tuples. 4.4.3 Deductive Processes with Aristotelian Form A
as a Premise. 4.5 Inferences. 4.5.1 Inferences Related to a Single Graph
Tuple of Associated Knowledge. 4.5.2 Inferences Related to More than One
Graph Tuple of Associated Knowledge. Exercises. 5. A General System of
Interactive Automata. 5.1 Formal Analysis for a General System of
Interactive Automata. 5.1.1 General Analysis. 5.1.2 Microsystem Model.
5.1.3 Macrosystem Model. 5.2 Example Applications. 5.2.1 A Two-Component
System. 5.2.2 A System of Many Components. Exercises. 6. Processing of
Knowledge About Systems of Automata. 6.1 A General System of Interactive
Automata: Detailed Analysis. 6.1.1 The Microsystem Model. 6.1.2 The
Macrosystem Model. 6.2 Knowledge Structures for Sentences Describing
Systems of Interactive Automata. Exercises. 7. Changing Expressions of
Knowledge for Communication from One Form and Style to Another. 7.1
Introduction. 7.2 Sets and Relations. 7.3 Establishing Open Expressions and
Open Sentences. 7.4 Selecting Subsets of Open Expressions. 7.5 Applying the
Results of the Above Analysis. 7.6 Summary and Conclusions. Exercises. 8.
Electronic Security Through Pseudo Languages. 8.1 Introduction. 8.2 Defi
nitions, Sets, and Relations. 8.3 Analysis for E-Security Through Pseudo
Languages. 8.3.1 A Basic E-Security System. 8.3.2 A Two-Step Encryption
System. 8.3.3 E-Signing. 8.4 Summary and Conclusions. Exercises. Appendix
A: Analysis for an Effective Operation of a General Automaton. A.1
Introduction. A.2 Recursive Methods. A.3 Effective Operation Analysis.
Exercises. Appendix B: Analysis for an Effective Operation of a General
System of Interactive Automata. B.1 Introduction. B.2 Microsystem Graphs.
B.3 Macrosystem Graphs. B.4 Example. Exercises. References. Index.

Rezensionen

"Essential teaching resource; exhaustive bibliography, including Koenig s 34 previously published works on GAM in HCS." ( CHOICE , April 2007)
"Readers have been provided with more than sufficient detail-led analysis and practical illustrations..." ( Kybernetes , Volume 36, No.34, 2007)