| I Artificial Intelligence 1 Introduction … 1 2 Intelligent Agents … 36 II Problem-solving 3 Solving Problems by Searching … 63 4 Search in Complex Environments … 110 5 Adversarial Search and Games … 146 6 Constraint Satisfaction Problems … 180 III Knowledge, reasoning, and planning 7 Logical Agents … 208 8 First-Order Logic … 251 9 Inference in First-Order Logic … 280 10 Knowledge Representation … 314 11 Automated Planning … 344 IV Uncertain knowledge and reasoning 12 Quantifying Uncertainty … 385 13 Probabilistic Reasoning … 412 14 Probabilistic Reasoning over Time … 461 15 Probabilistic Programming … 500 16 Making Simple Decisions … 528 17 Making Complex Decisions … 562 18 Multiagent Decision Making … 599 |
V Machine Learning 19 Learning from Examples … 651 20 Learning Probabilistic Models … 721 21 Deep Learning … 750 22 Reinforcement Learning … 789 VI Communicating, perceiving, and acting 23 Natural Language Processing … 823 24 Deep Learning for Natural Language Processing … 856 25 Computer Vision … 881 26 Robotics … 925 VII Conclusions 27 Philosophy, Ethics, and Safety of AI … 981 28 The Future of AI … 1012 Appendix A: Mathematical Background … 1023 Appendix B: Notes on Languages and Algorithms … 1030 |
Artificial Intelligence A Modern Approach
440,00 EGP
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