1. Introduction. - 1. 1 Historical perspective on automatic learning. - 1. 2 An automatic learning tool-box. - I Automatic Learning Methods. - 2. Automatic Learning is Searching a Model Space. - 3. Statistical Methods. - 4. Artificial Neural Networks. - 5. Machine Learning. - 6. Auxiliary Tools and Hybrid Techniques. - II Application of Automatic Learning to Security Assessment. - 7. Framework for Applying Automatic Learning to DSA. - 8. Overview of Security Problems. - 9. Security Information Data Bases. - 10. A Sample of Real-Life Applications. - 11. Added Value of Automatic Learning. - 12. Future Orientations. - III Automatic Learning Applications in Power Systems. - 13. Overview of Applications by Type. - References. Language: English