An introduction to
ARTIFICIAL INTELLIGENCE
Alan Dix with Janet Finlay
Table of Contents
1. Introduction
Part I – Knowledge-Based AI
2. Knowledge in AI
3. Reasoning
4. Search
Part II – Data and Learning
5. Machine learning
6. Neural Networks
7. Statistical and Numerical Techniques
8. Going Large: deep learning and big data
9. Making Sense of Machine Learning
10. Data Preparation
Part III – Specialised Areas
11. Game playing
12. Computer vision
13. Natural language understanding
14. Time Series and Sequential Data
15. Planning and robotics
16. Agents
17. Web scale reasoning
Part IV – Humans at the Heart
18. Expert and decision support systems
19. AI working with and for humans
20. When things go wrong
21. Explainable AI
22. Models of the mind – Human-Like Computing
23. Philosophical, ethical and social issues
Part V – Looking Forward
24. Epilogue: what next?
New glossary and table of contents with linked material in progress.