Artificial Intelligence, 3/e

Description

This book explains how it is possible for computers to reason and perceive, thus introducing the field called artificial intelligence. This book would appeal to programmers, professionals and students. This completely rewritten and updated edition reflects the revolutionary progress made since the previous edition was published.

Acknowledgements
Software
Preface
Representations and Methods
- The Intelligent Computer
- Semantic Nets and Description Matching
- Generate and Test, Means-Ends Analysis, and Problem Reduction
- Nets and Basic Search
- Nets and Optimal Search
- Trees and Adversarial Search
- Rules and Rule Chaining
- Rules, Substrates, and Cognitive Modeling
- Frames and Inheritance
- Fames and Commonsense
- Numeric Constraints and Propagation
- Symbolic Constraints and Propagation
- Logic and Resolution Proof
- Backtracking and Truth Maintenance
- Planning
Learning and Regularity Recognition
- Learning by Analyzing Difference
- Learning by Explaining Experience
- Learning by Correcting Mistakes
- Learning by Recording Cases
- Learning by Managing Multiple Models
- Learning by Building Identification Trees
- Learning by Training Neural Nets
- Learning by Training Perceptions
- Learning by Training Approximation Nets
- Learning by Simulating Evolution
- Recognizing Objects
- Describing Images
- Expressing Language Constrains
- Responding to Questions and Commands
Appendices
- Relational Databases
- Exercises
Bibliography
Index
Colophon