What every engineer should know about artificial intelligence:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Mass. u.a.
MIT Pr.
1988
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | X, 331 S. Ill., graph. Darst. |
| ISBN: | 0262200694 |
Internformat
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| 245 | 1 | 0 | |a What every engineer should know about artificial intelligence |
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Datensatz im Suchindex
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| adam_text | What Every Engineer Should Know
About Artificial Intelligence
William A Taylor
The MIT Press
Cambridge, Massachusetts
London, England
Contents
Acknowledgments xi
1 What Is Artificial Intelligence? 1
Engineering Opportunity in AI 2
The Promise of Artificial Intelligence 3
Derivative Results of Artificial Intelligence 7
A Definition of Artificial Intelligence 9
Upward and Onward 9
2 Humans and Computers, Silicon Life and Carbon Life 11
Theory and Practice 12
Status Report on AI Research 13
How Computers Work 14
Handling Life s Little Problems 22
Who Needs Intelligent Computers? 23
3 Results of AI Research 25
Time Sharing 25
Man-Machine Interfaces 26
Natural Language Processing 27
Expert Systems 29
Logic Programming 30
Object-Oriented Programming j 30
Spreadsheets 31
AI Technologies That Do Not Work Well Yet 32
Technologies That Will Not Work Soon 38
The State of the Art 40
4 Applications of Artificial Intelligence 41
Problems with Management 42
Applications 44
Lessons to Be Learned 65
5 The Lisp Programming Language 67
Data, Rules, and Goals 67
Commercial Success and Failure 69
The Software Development Process 71
Why Lisp Was Invented 73
Review of Lisp 87
6 Using Lisp 89
Using Properties: Is and Has 89
Inferring New Facts from Old Facts 90
Semantic Nets 93
viii Contents
Object-Oriented Programming 97
Memory Management in Lisp 99
l is t Structure 104
Summary of l isp 108
Other Languages for AI 109
7 Software Tools for AI 111
Conventional Engineering Tools 112
The Software Development Process 113
Writing Programs Rapidly 117
Was It Worth the Cost? 126
What Next? 129
8 Programming Styles 131
Function-Based Programming 132
Object-Oriented Programming 133
Rule-Based Programming 134
Summary of Programming Styles 138
Conventional Device Independence 139
The Bottom Line on Programming 140
Goal-Oriented Factory Automation Software 141
Now What? 142
9 Expert Systems 143
Reasons for Developing Expert Systems 144
Rules in Expert Systems 144
Kinds of Expert Systems 145
Choosing Problems for Expert Systems 146
Nontechnical Considerations 149
Operation of Expert Systems 153
Mycin: A Medical Expert System 156
Rl: A Forward-Chaining Expert System 160
Commercial Status of Expert Systems 163
Expert Systems and Logic Programming 164
10 Logic Programming 165
Pattern Matching 166
Rules Tell How to Infer New Facts 171
Unification 179
Summing up Mathematical Logic 182
11 User Interfaces to Logic Systems 185
The Importance of Asking Questions 185
A Simple Expert System 186
Problems with the User Interface 193
What Next with Rules? 193
12 Issues in Rule and Knowledge Management 195
Contents ix
Expert System Shells 195
The Role of Knowledge Management 204
Parts of Expert System Shells 206
Winning the Shell Game 213
13 Prolog 215
Prolog versus Lisp 216
Making Computers Compute 218
Prolog versus Logic Programming 218
Prolog Syntax 220
Control Structure 229
Who Needs Logic Programming? 244
The Japanese and the AI Market 245
14 Getting Started in AI 247
Hiring Outside Help 247
Training In-House Staff 248
Writing Expert Systems 249
Learning Lisp 251
Learning Object-Oriented Programming 254
Slogans for the AI Revolution 254
AI Is Only Another Technology 259
The Time for AI Is Now 260
15 The Future of Artificial Intelligence 263
Copying Human Intelligence 263
Commercialism 265
Advice Programs 265
New Kinds of Service 268
New Products 271
Overall Effects 273
Technology Trends 273
16 Japan and the Fifth Generation Project 275
Starting the Project 276
Why Do the Japanese Do It? 280
How Do the Japanese Do It? 282
What the Japanese Say about Japan 288
Japanese Research Projects 290
Impact of Artificial Intelligence 298
What to Do about Japanese Competition 298
The Real Battle 305
Markets and Technology 306
Bibliography 307
Artificial Intelligence Directories 308
A Dose of Realism 308
x Contents
Philosophy of Innovation 309
Philosophy of Artificial Intelligence 310
Academic Artificial Intelligence 311
Commercial Artificial Intelligence 313
Getting Started in Lisp 313
Expert Systems 315
Prolog 317
Object-Oriented Programming 318
Japan 319
Other References 320
Index 323
|
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| spelling | Taylor, William A. Verfasser aut What every engineer should know about artificial intelligence Cambridge, Mass. u.a. MIT Pr. 1988 X, 331 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Inteligencia Artificial (Computacao) larpcal Datenverarbeitung Künstliche Intelligenz Artificial intelligence Artificial intelligence Data processing Expertensystem (DE-588)4113491-6 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Expertensystem (DE-588)4113491-6 s HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001402638&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Taylor, William A. What every engineer should know about artificial intelligence Inteligencia Artificial (Computacao) larpcal Datenverarbeitung Künstliche Intelligenz Artificial intelligence Artificial intelligence Data processing Expertensystem (DE-588)4113491-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4113491-6 (DE-588)4033447-8 |
| title | What every engineer should know about artificial intelligence |
| title_auth | What every engineer should know about artificial intelligence |
| title_exact_search | What every engineer should know about artificial intelligence |
| title_full | What every engineer should know about artificial intelligence |
| title_fullStr | What every engineer should know about artificial intelligence |
| title_full_unstemmed | What every engineer should know about artificial intelligence |
| title_short | What every engineer should know about artificial intelligence |
| title_sort | what every engineer should know about artificial intelligence |
| topic | Inteligencia Artificial (Computacao) larpcal Datenverarbeitung Künstliche Intelligenz Artificial intelligence Artificial intelligence Data processing Expertensystem (DE-588)4113491-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Inteligencia Artificial (Computacao) Datenverarbeitung Künstliche Intelligenz Artificial intelligence Artificial intelligence Data processing Expertensystem |
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