Artificial Intelligence Illuminated

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Jones & Bartlett Learning, 2004 - 739 Seiten
Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its importance in today's society and potential for the future. The book covers a range of AI techniques, algorithms, and methodologies, including game playing, intelligent agents, machine learning, genetic algorithms, and Artificial Life. Material is presented in a lively and accessible manner and the author focuses on explaining how AI techniques relate to and are derived from natural systems, such as the human brain and evolution, and explaining how the artificial equivalents are used in the real world. Each chapter includes student exercises and review questions, and a detailed glossary at the end of the book defines important terms and concepts highlighted throughout the text.

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Inhalt

Introduction to Artificial Intelligence
1
PART
3
Chapter
4
Chapter
5
Chapter
6
PART
7
Chapter
8
Chapter
9
Knowledge Representation and Automated
173
Truth Tables
181
Equivalence
187
5
192
Chapter 17
202
Inference and Resolution for Problem Solving
209
Applications of Resolution
217
Chapter 12
238

Chapter
15
Chapter3
16
Chapter
18
Chapter
19
Chapter
20
Knowledge Representation
27
9
40
ObjectOriented Programming
41
Chapter 7
43
Chapter 16
51
4
54
Combinatorial Explosion
57
10
58
3
65
Search Methodologies
71
Web Spidering
88
5
92
10
95
3
110
Advanced Search
117
Heuristic Repair
123
3
126
Genetic Algorithms for Search
131
6
132
Game Playing
143
PART 6
145
Minimax
149
Checkers
159
3
162
10
165
Rules and Expert Systems
241
RuleBased Expert Systems
251
Machine Learning
265
Neural Networks
291
7
292
Probabilistic Reasoning and Bayesian Belief
327
Simple Bayesian Concept Learning
337
The NoisyV Function
348
Learning through Emergent
363
Genetic Algorithms
387
Planning
419
Situation Calculus
426
Planning Methods
433
The Sussman Anomaly
443
SAT Planning
450
Probabilistic Planning
456
Advanced Topics
463
Fuzzy Reasoning
503
Intelligent Agents
543
Understanding Language
571
5
586
10
592
Machine Vision
605
Using Texture
616
Interpreting Motion
623
Review Questions
629
Bibliography
697
Index
719
Resolution in Predicate Logic 218
735
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Über den Autor (2004)

Ben Coppin has a first class honors degree in Computer Science from Cambridge University. In 1999 he co-founded Envisional, a software company that uses Artificial Intelligence techniques to provide online brand monitoring services for companies.

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