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Contents 1. Introduction to AI..............................1 2. Problems, Problem Spaces and Search.....9 3. Common AI Problems........................20 4. Heuristic search Techniques.................29 5. Knowledge Representation..................47 6. Knowledge Representation using Rules...77 7. Symbolic Reasoning under Uncertainty...95 8. Statistical Reasoning.........................108 9. Weak Slot and Filler Structure............125 10. Strong Slot and Filler Structure.........138 11. Natural Language Processing............148 12. Learning......................................169 13. Expert Systems and its Architecture....196 14. Prolog..........................................211 References/Further Readings.................228
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Contents 1. Introduction to AI..............................1 2. Problems, Problem Spaces and Search.....9 3. Common AI Problems........................20 4. Heuristic search Techniques.................29 5. Knowledge Representation..................47 6. Knowledge Representation using Rules...77 7. Symbolic Reasoning under Uncertainty...95 8. Statistical Reasoning.........................108 9. Weak Slot and Filler Structure............125 10. Strong Slot and Filler Structure.........138 11. Natural Language Processing............148 12. Learning......................................169 13. Expert Systems and its Architecture....196 14. Prolog..........................................211 References/Further Readings.................228