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Knowledge representation and relation nets

Knowledge representation and relation nets (Loan 1 times)

Material type
단행본
Personal Author
Geldenhuys, Aletta E., 1951- Van Rooyen, Hendrik O. , 1940- Stetter, Franz.
Title Statement
Knowledge representation and relation nets / by Aletta E. Geldenhuys, Hendrik O. Van Rooyen, Franz Stetter.
Publication, Distribution, etc
Boston :   Kluwer Academic Publishers,   c1999.  
Physical Medium
x, 279 p. : ill. ; 25 cm.
Series Statement
Kluwer international series in engineering and computer science ; SECS 506
ISBN
0792385179
Bibliography, Etc. Note
Includes bibliographical references (p. [269]-275) and index.
Subject Added Entry-Topical Term
Expert systems (Computer science) Knowledge representation (Information theory) Expert systems (Computer science) Knowledge representation (Information theory)
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001 000000652319
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008 990316s1999 maua b 001 0 eng
010 ▼a 99025853
020 ▼a 0792385179
040 ▼a DLC ▼c DLC ▼d C#P ▼d UKM ▼d OHX ▼d 211009
042 ▼a pcc
049 ▼l 111141655 ▼l 121054698 ▼f 과학
050 0 0 ▼a QA76.76.E95 ▼b G44 1999
072 7 ▼a QA ▼2 lcco
082 0 0 ▼a 006.6/3 ▼2 21
090 ▼a 006.63 ▼b G315k
100 1 ▼a Geldenhuys, Aletta E., ▼d 1951-
245 1 0 ▼a Knowledge representation and relation nets / ▼c by Aletta E. Geldenhuys, Hendrik O. Van Rooyen, Franz Stetter.
260 ▼a Boston : ▼b Kluwer Academic Publishers, ▼c c1999.
300 ▼a x, 279 p. : ▼b ill. ; ▼c 25 cm.
440 0 ▼a Kluwer international series in engineering and computer science ; ▼v SECS 506
504 ▼a Includes bibliographical references (p. [269]-275) and index.
650 0 ▼a Expert systems (Computer science)
650 0 ▼a Knowledge representation (Information theory)
650 4 ▼a Expert systems (Computer science)
650 4 ▼a Knowledge representation (Information theory)
700 1 ▼a Van Rooyen, Hendrik O. , ▼d 1940-
700 1 ▼a Stetter, Franz.
938 ▼a Otto Harrassowitz ▼b HARR ▼n har005089684 ▼c 240.00 DEM

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No. 1 Location Main Library/Western Books/ Call Number 006.63 G315k Accession No. 111141655 Availability Available Due Date Make a Reservation Service B M
No. 2 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.63 G315k Accession No. 121054698 Availability Available Due Date Make a Reservation Service B M
No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 006.63 G315k Accession No. 111141655 Availability Available Due Date Make a Reservation Service B M
No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.63 G315k Accession No. 121054698 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents


CONTENTS

Preface = ⅸ

Acknowledgments = xi

Part Ⅰ Structural Modelling Of Knowledge

 1. SOME APPROACHES TO KNOWLEDGE REPRESENTATION = 3

  1.1 Statement of the problem = 3

  1.2 Two theories of knowledge acquisition = 5

  1.3 Some metacognitive tools = 7

  1.4 Beyond concept maps = 17

  1.5 A model for knowledge representation = 19

 2. A LABELLED DIGRAPH MODEL FOR KNOWLEDGE REPRESENTATION = 23

  2.1 Relation nets = 23

  2.2 Examples of relation nets = 25

 3. CASCADES, FORMAL SCHEMAS, AND DERIVABILITY = 39

  3.1 Walks and cascades = 39

  3.2 Formal schemas and context schemas = 45

  3.3 Derivability in a formal schema = 49

 4. KNOWLEDGE STRUCTURES = 55

  4.1 Formal schema theorems = 55

  4.2 Concept - Relationship Knowledge Structures (CRKS's) = 58

 5. PRESENTATION STRATEGIES FOR CRKS'S = 67

  5.1 Hierarchies = 67

  5.2 Menger's theorem = 69

  5.3 CRKS's and hypergraphs = 74

  5.4 Deductive complexity = 75

  5.5 Spiralling = 87

 6. ACCOMMODATIONS AND ANALOGY = 89

  6.1 Accommodations = 89

  6.2 Structural analogy = 92

 7. AN EXAMPLE OF STRUCTURAL ANALOGY = 101

  7.1 Similarity = 101

  7.2 The displacements in a plane = 103

  7.3 From the displacements CRKS to the triples CRKS = 106

  7.4 Abstraction isomorphisms and theorem proofs = 110

 8. MODELLING NEW KNOWLEDGE = 119

  8.1 Finding a cluster isomorphism = 119

  8.2 Expanding the domain by limited access cascade = 123

  8.3 Employing a second limited access cascade = 133

  8.4 Using CRKS isomorphism = 136

  8.5 Problem solving = 137

 9. MODELS OF REASONING = 145

  9.1 CRKS's and cascades revisited = 145

  9.2 Models of intuitive reasoning and deductive reasoning = 150

  9.3 Invariance and attention points = 151

  9.4 Secondary concepts and relationships = 153

  9.5 CRKS isomorphisms and inductive reasoning = 153

  9.6 Models of associative and constructive reasoning = 154

 10. POTENTIAL USES OF THE CRKS MODEL = 159

  10.1 Comments on the CRKS model = 159

  10.2 CRKS's in teaching = 160

  10.3 The CRDS philosophy of teaching = 162

  10.4 The CRKS view of teaching = 163

  10.5 Towards a science of teaching = 167

  10.6 In summary = 169

Part Ⅱ A CRDS for a Programming Language

 11. AN EXAMPLE OF A CRKS = 173

  11.1 The statements and the diagram = 173

  11.2 Derivation path - families = 182

  11.3 Deductive distances = 188

Part Ⅲ Relation Nets

 12. INTRODUCTION TO THE THEORY OF RELATION NETS = 193

  12.1 Fundamental definitions = 193

  12.2 The subnets of a relation net = 197

  12.3 Walks = 202

  12.4 Cascades = 204

  12.5 Menger's theorem in a relation net = 204

 13. CONNECTEDNESS AND VERTEX BASES = 209

  13.1 Connectedness and components = 209

  13.2 Vertex bases = 211

 14. VULNERABILITY = 215

  14.1 Deletion of binary relations = 215

  14.2 x, y Relations and occurrences = 218

  14.3 Bridge relations and basic relations = 222

  14.4 Relation bases = 227

 15. CONNECTIVITY = 233

  15.1 Deletion of vertices = 233

  15.2 Tree nets = 239

  15.3 Connectivity and cut - sets = 242

 16. SUBNETS AND FACTORIZATION = 253

  16.1 Blocks = 253

  16.2 Freeways and factors = 256

Appendices = 261

A-A Partial Model of CRKS Theory = 261

B-List of Constructional Schemes = 265

References = 269

Index = 277



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