Knowledge Acquisition for Expert Systems

Name: Knowledge Acquisition for Expert Systems
Price: 8.48 USD
Availability: InStock
ISBN: 9780070269118

ISBN-10: 0070269114

ISBN-13: 9780070269118

Edition: 2nd

Authors: Anna Hart

List price: $43.00

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Book details

List price: $43.00
Edition: 2nd
Publisher: McGraw-Hill Companies, The
Binding: Hardcover
Size: 6.25" wide x 9.50" long x 0.75" tall
Weight: 0.880
Language: English

Preface	p. 9
The Nature of Expertise	p. 13
Intelligence	p. 13
Experts	p. 14
The role of experts	p. 16
True expertise	p. 18
Summary	p. 19
Programs as Experts	p. 21
Definition of expert systems	p. 21
Advantages of using expert systems	p. 23
How are expert systems different	p. 24
History of expert system development	p. 26
Applications of expert systems and some examples	p. 27
Problems of using expert systems	p. 28
Summary	p. 31
Systems Analysis--A Comparison	p. 32
Overview of systems analysis	p. 32
Expert system development	p. 35
Knowledge elicitation--a more difficult problem	p. 39
Prototyping	p. 39
A methodology	p. 41
Summary	p. 42
The Knowledge Engineer	p. 43
The role of the systems analyst	p. 43
The role of the knowledge engineer	p. 44
Running the project	p. 47
Summary	p. 53
Interviewing the Experts	p. 54
General	p. 54
Objectives	p. 58
Examples of output	p. 60
Feedback	p. 64
Methods of questioning	p. 67
Methods from psychology	p. 70
Which methods?	p. 71
Analysis	p. 72
Protocol analysis	p. 76
Other methods	p. 79
Debugging	p. 79
Summary	p. 80
Reasoning and Probability Theory	p. 81
The foundations of probability	p. 82
Combination of events	p. 84
Probability distributions	p. 86
Statistical tests	p. 90
Correlation	p. 91
Bayes theorem	p. 92
Problems of estimation	p. 95
Summary	p. 96
Fuzziness in Reasoning	p. 98
Usage of words	p. 98
Fuzziness	p. 99
IF ... THEN rules	p. 100
Symptoms	p. 103
Weak rules	p. 106
Incompatibility	p. 107
Analogies	p. 108
Uncertainty in data	p. 109
Endorsements	p. 111
Fuzzy logic	p. 112
Fuzzy sets	p. 112
Applications of fuzzy logic	p. 116
Other forms of logic	p. 117
Summary	p. 118
Machine Induction	p. 119
Principles of induction	p. 119
Requirements for induction	p. 120
ID3 rule induction	p. 125
A simple case study	p. 126
Analysis of case study	p. 130
Results from taxonomy	p. 135
Problems with uncertain data	p. 137
General comments	p. 140
The structured approach	p. 144
Other algorithms	p. 144
Neural networks	p. 144
Summary	p. 145
The Repertory Grid	p. 147
Personal construct theory	p. 147
The grid	p. 148
Grid elicitation	p. 151
Grid analysis	p. 152
A case study in repertory grid	p. 152
The grid's usefulness	p. 161
Summary	p. 162
Try It Anyway--Case Studies	p. 166
Attersley Vegetable Research Station	p. 166
Cotting Hospital	p. 172
United Chemists	p. 175
Overview	p. 177
Finally...	p. 178
References	p. 179
Glossary	p. 185
Index	p. 193
Table of Contents provided by Blackwell. All Rights Reserved.