ch. 1. Introduction -- ch. 2. Rule-based systems -- ch. 3. Handling uncertainty : probability and fuzzy logic -- ch. 4. Agents, objects, and frames -- ch. 5. Symbolic learning -- ch. 6. Single-candidate optimization algorithms -- ch. 7. Genetic algorithms for optimization -- ch. 8. Neural networks -- ch. 9. Hybrid systems -- ch. 10. Artificial intelligence programming languages -- ch. 11. Systems for interpretation and diagnosis -- ch. 12. Systems for design and selection -- ch. 13. Systems for planning -- ch. 14. Systems for control -- ch. 15. The future of intelligent systems.