Artificial intelligence: a guide to intelligent systems
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Harlow, England ; Munich [u.a.]
Addison-Wesley
2011
|
| Ausgabe: | 3. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XX, 479 S. Ill., graph. Darst. |
| ISBN: | 9781408225745 1408225743 |
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| 100 | 1 | |a Negnevitsky, Michael |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Artificial intelligence |b a guide to intelligent systems |c Michael Negnevitsky |
| 250 | |a 3. ed. | ||
| 264 | 1 | |a Harlow, England ; Munich [u.a.] |b Addison-Wesley |c 2011 | |
| 300 | |a XX, 479 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 650 | 4 | |a Artificial intelligence | |
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Datensatz im Suchindex
| _version_ | 1804143313870127104 |
|---|---|
| adam_text | Contents
Preface x
Preface
to the third edition
xiii
Overview of the book
xv
Acknowledgements
xix
1
Introduction to knowledge-based intelligent systems
1
1.1 Intelligent machines, or what machines can do
1
1.2
The history of artificial intelligence, or from the Dark Ages
to knowledge-based systems
4
1.3
Summary
17
Questions for review
21
References
22
2
Rule-based expert systems
25
2.1
Introduction, or what is knowledge?
25
2.2
Rules as a knowledge representation technique
26
2.3
The main players in the expert system development team
28
2.4
Structure of a rule-based expert system
30
2.5
Fundamental characteristics of an expert system
33
2.6
Forward chaining and backward chaining inference
techniques
35
2.7
MEDIA ADVISOR: a demonstration rule-based expert system
41
2.8
Conflict resolution
47
2.9
Advantages and disadvantages of rule-based expert systems
50
2.10
Summary
51
Questions for review
53
References
54
3
Uncertainty management in rule-based expert systems
55
3.1
Introduction, or what is uncertainty?
55
3.2
Basic probability theory
57
3.3
Bayesian reasoning
61
3.4
FORECAST: Bayesian accumulation of evidence
65
3.5
Bias of the Bayesian method
72
viii CONTENTS
3.6
Certainty factors theory and evidential reasoning
74
3.7
FORECAST: an application of certainty factors
80
3.8
Comparison of Bayesian reasoning and certainty factors
82
3.9
Summary
83
Questions for review
85
References
85
4
Fuzzy expert systems
87
4.1
Introduction, or what is fuzzy thinking?
87
4.2
Fuzzy sets
89
4.3
Linguistic variables and hedges
94
4.4
Operations of fuzzy sets
97
4.5
Fuzzy rules
103
4.6
Fuzzy inference
106
4.7
Building a fuzzy expert system
113
4.8
Summary
125
Questions for review
126
References
127
Bibliography
127
5
Frame-based expert systems
131
5.1
Introduction, or what is a frame?
131
5.2
Frames as a knowledge representation technique
133
5.3
Inheritance in frame-based systems
138
5.4
Methods and demons
142
5.5
Interaction of frames and rules
146
5.6
Buy Smart: a frame-based expert system
149
5.7
Summary
161
Questions for review
163
References
163
Bibliography
164
6
Artificial neural networks
165
6.1
Introduction, or how the brain works
165
6.2
The neuron as a simple computing element
168
6.3
The perceptron
170
6.4
Multilayer neural networks
175
6.5
Accelerated learning in multilayer neural networks
185
6.6
The Hopfield network
188
6.7
Bidirectional associative memory
196
6.8
Self-organising neural networks
200
6.9
Summary
212
Questions for review
215
References
216
7
Evolutionary computation
219
7.1
Introduction, or can evolution be intelligent?
219
7.2
Simulation of natural evolution
219
7.3
Genetic algorithms
222
CONTENTS ¡x
7.4
Why genetic algorithms work
232
7.5
Case study: maintenance scheduling with genetic
algorithms
235
7.6
Evolution strategies
242
7.7
Genetic programming
245
7.8
Summary
254
Questions for review
255
References
256
Bibliography
257
8
Hybrid intelligent systems
259
8.1
Introduction, or how to combine German mechanics with
Italian love
259
8.2
Neural expert systems
261
8.3
Neuro-fuzzy systems
268
8.4
ANFIS: Adaptive Neuro-Fuzzy Inference System
277
8.5
Evolutionary neural networks
285
8.6
Fuzzy evolutionary systems
290
8.7
Summary
296
Questions for review
297
References
298
9
Knowledge engineering
301
9.1
Introduction, or what is knowledge engineering?
301
9.2
Will an expert system work for my problem?
308
9.3
Will a fuzzy expert system work for my problem?
317
9.4
Will a neural network work for my problem?
323
9.5
Will genetic algorithms work for my problem?
343
9.6
Will a hybrid intelligent system work for my problem?
348
9.7
Summary
357
Questions for review
359
References
362
10
Data mining and knowledge discovery
365
10.1
Introduction, or what Is data mining?
365
10.2
Statistical methods and data visualisation
369
10.3
Principal component analysis
374
10.4
Relational databases and database queries
386
10.5
The data warehouse and multidimensional data analysis
391
10.6
Decision trees
401
10.7
Association rules and market basket analysis
410
10.8
Summary
418
Questions for review
420
References
421
Glossary
425
Appendix:
Al
tools and vendors
451
Index
471
|
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| discipline | Informatik Wirtschaftswissenschaften |
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| illustrated | Illustrated |
| indexdate | 2024-07-09T22:45:41Z |
| institution | BVB |
| isbn | 9781408225745 1408225743 |
| language | English |
| lccn | 2010041988 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020602489 |
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| spelling | Negnevitsky, Michael Verfasser aut Artificial intelligence a guide to intelligent systems Michael Negnevitsky 3. ed. Harlow, England ; Munich [u.a.] Addison-Wesley 2011 XX, 479 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Expert systems (Computer science) Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020602489&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Negnevitsky, Michael Artificial intelligence a guide to intelligent systems Expert systems (Computer science) Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4151278-9 |
| title | Artificial intelligence a guide to intelligent systems |
| title_auth | Artificial intelligence a guide to intelligent systems |
| title_exact_search | Artificial intelligence a guide to intelligent systems |
| title_full | Artificial intelligence a guide to intelligent systems Michael Negnevitsky |
| title_fullStr | Artificial intelligence a guide to intelligent systems Michael Negnevitsky |
| title_full_unstemmed | Artificial intelligence a guide to intelligent systems Michael Negnevitsky |
| title_short | Artificial intelligence |
| title_sort | artificial intelligence a guide to intelligent systems |
| title_sub | a guide to intelligent systems |
| topic | Expert systems (Computer science) Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Expert systems (Computer science) Artificial intelligence Künstliche Intelligenz Einführung |
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