Artificial Intelligence: A Guide to Intelligent Systems,9780201711592

Artificial Intelligence: A Guide to Intelligent Systems

by
Edition: 1st
ISBN13: 9780201711592
ISBN10: 0201711591
Format: Hardcover
Pub. Date: 2005-01-01
Publisher(s): Addison Wesley
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Summary

Provides a practical introduction to artificial intelligence that is less mathematically rigorous than other books on the market. Appropriate for programmers looking for an overview of all facets of artificial intelligence.

Author Biography

Dr Michael Negnevitsky is a Senior Lecturer in Electrical Engineering and Computer Science at the University of Tasmania, Australia

Table of Contents

Preface xi
Acknowledgements xv
Introduction to knowledge-based intelligent systems
1(24)
Intelligent machines, or what machines can do
1(3)
The history of artificial intelligence, or from the 'Dark Ages' to knowledge-based systems
4(13)
Summary
17(8)
Questions for review
21(1)
References
22(3)
Rule-based expert systems
25(30)
Introduction, or what is knowledge?
25(1)
Rules as a knowledge representation technique
26(2)
The main players in the expert system development team
28(2)
Structure of a rule-based expert system
30(3)
Fundamental characteristics of an expert system
33(2)
Forward chaining and backward chaining inference techniques
35(6)
Thermostat: a demonstration rule-based expert system
41(5)
Conflict resolution
46(3)
Advantages and disadvantages of rule-based expert systems
49(2)
Summary
51(4)
Questions for review
53(1)
References
53(2)
Uncertainty management in rule-based expert systems
55(32)
Introduction, or what is uncertainty?
55(2)
Basic probability theory
57(4)
Bayesian reasoning
61(4)
Forecast: Bayesian accumulation of evidence
65(7)
Bias of the Bayesian method
72(2)
Certainty factors theory and evidential reasoning
74(6)
Forecast: an application of certainty factors
80(2)
Comparison of Bayesian reasoning and certainty factors
82(1)
Summary
83(4)
Questions for review
85(1)
References
85(2)
Fuzzy expert systems
87(42)
Introduction, or what is fuzzy thinking?
87(2)
Fuzzy sets
89(5)
Linguistic variables and hedges
94(3)
Operations of fuzzy sets
97(6)
Fuzzy rules
103(3)
Fuzzy inference
106(8)
Building a fuzzy expert system
114(11)
Summary
125(4)
Questions for review
126(1)
References
127(1)
Bibliography
127(2)
Frame-based expert systems
129(34)
Introduction, or what is a frame?
129(2)
Frames as a knowledge representation technique
131(5)
Inheritance in frame-based systems
136(4)
Methods and demons
140(4)
Interaction of frames and rules
144(3)
Buy Smart: a frame-based expert system
147(12)
Summary
159(4)
Questions for review
161(1)
References
161(1)
Bibliography
162(1)
Artificial neural networks
163(54)
Introduction, or how the brain works
163(3)
The neuron as a simple computing element
166(2)
The perceptron
168(5)
Multilayer neural networks
173(10)
Accelerated learning in multilayer neural networks
183(3)
The Hopfield network
186(8)
Bidirectional associative memory
194(4)
Self-organising neural networks
198(12)
Summary
210(7)
Questions for review
213(1)
References
214(3)
Evolutionary computation
217(40)
Introduction, or can evolution be intelligent?
217(1)
Simulation of natural evolution
217(3)
Genetic algorithms
220(10)
Why genetic algorithms work
230(3)
Case study: maintenance scheduling with genetic algorithms
233(7)
Evolution strategies
240(3)
Genetic programming
243(9)
Summary
252(5)
Questions for review
253(1)
References
254(3)
Hybrid Intelligent systems
257(42)
Introduction, or how to combine German mechanics with Italian love
257(2)
Neural expert systems
259(7)
Neuro-fuzzy systems
266(9)
ANFIS: Adaptive Neuro-Fuzzy Inference System
275(8)
Evolutionary neural networks
283(5)
Fuzzy evolutionary systems
288(6)
Summary
294(5)
Questions for review
295(1)
References
296(3)
Knowledge engineering and data mining
299(46)
Introduction, or what is knowledge engineering?
299(7)
Will an expert system work for my problem?
306(9)
Will a fuzzy expert system work for my problem?
315(6)
Will a neural network work for my problem?
321(9)
Data mining and knowledge discovery
330(11)
Summary
341(4)
Questions for review
342(1)
References
343(2)
Glossary 345(26)
Appendix 371(16)
Index 387

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