This is a practical, highly-accessible introduction to the state-of-the-art in artificial intelligence.

This book demystifies artificial intelligence, making it concrete and transparent. It covers knowledge representation, inference, expert systems, natural language processing, machine learning, neural networks, agents, robots, and more. The book includes extensive self-test questions, case studies, figures, worked examples, sample algorithms and a complete glossary.

For anyone interested in artificial intelligence; no prior background is required.

1. Introduction
2. Knowledge Representation and Inference
3. Expert Systems
4. Using Search in Problem Solving
5. Natural Language Processing
6. Vision
7. Machine Learning and Neural Networks
8. Agents and Robots
Appendices
AI resources on the web
Glossary