000 08013nam a2200877 i 4500
001 5988895
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006 m o d
007 cr |n|||||||||
008 070509t20152007njua ob 001 0 eng d
020 _z0470052104
_qelectronic
020 _z9780471998136
_qpaper
020 _a9780470052105
_qelectronic
024 7 _a10.1002/0470052104
_2doi
035 _a(CaBNVSL)mat05988895
035 _a(IDAMS)0b00006481624698
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQA76.9.H85
_bK64 2007eb
082 0 4 _a004.01/9
_222
100 1 _aKoenig, Eldo C.
_q(Eldo Clyde),
_d1919-
_eauthor.
245 1 0 _aKnowledge structures for communications in human-computer systems
_h[electronic resource] :
_bgeneral automata-based /
_cEldo C. Koenig.
264 1 _aHoboken, New Jersey :
_bWiley-Interscience,
_cc2007.
300 _a1 PDF (1 online resource (xii, 281 pages)) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aPractitioners ;
_v56
500 _a"IEEE Computer Society, 60th anniversary"--T.p.
504 _aIncludes bibliographical references (p. 273-277) and index.
505 8 _a4.5.2 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.
505 0 _aPreface. -- 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.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aA comprehensive look at General automata and how it can be used to establish the fundamentals for communication in human-computer systemsDrawing 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.
538 _aMode of access: World Wide Web.
588 _aDescription based on PDF viewed 12/18/2015.
650 0 _aHuman-computer interaction.
650 0 _aMachine theory
_xMathematical models.
650 0 _aKnowledge acquisition (Expert systems)
655 0 _aElectronic books.
695 _aVocabulary
695 _aTiming
695 _aTime factors
695 _aServers
695 _aProgram processors
695 _aReceivers
695 _aMedia
695 _aNatural languages
695 _aMathematical model
695 _aMaterials
695 _aManganese
695 _aKnowledge based systems
695 _aJoining processes
695 _aInteractive systems
695 _aAlgorithm design and analysis
695 _aAnalytical models
695 _aAuditory system
695 _aAutomata
695 _aBibliographies
695 _aComputational modeling
695 _aComputers
695 _aEncryption
695 _aEquations
695 _aFrequency modulation
695 _aGames
695 _aHistory
695 _aIndexes
695 _aInformation theory
710 2 _aJohn Wiley & Sons,
_epublisher.
710 2 _aIEEE Computer Society.
710 2 _aIEEE Xplore (Online Service),
_edistributor.
776 0 8 _iPrint version:
_z9780471998136
830 0 _aPractitioners ;
_v56
856 4 2 _3Abstract with links to resource
_uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5988895
942 _cEBK
999 _c59706
_d59706