INSEAD Library

Includes bibliographical references and index

Digitized

Artificial Intelligence A Modern Approach Summary of Contents I Artificial Intelligence 1 Introduction............................................................................................................... 1 2 Intelligent Agents.......................................................................................................... 32 II Problem-solving 3 Solving Problems by Searching.................................................................................... 59 4 Informed Search and Exploration............................................................................... 94 5 Constraint Satisfaction Problems............................................................................. 137 6 Adversarial Search.................................................................................................... 161 III Knowledge and reasoning 7 Logical Agents................................................................................................................. 194 8 First-Order Logic..........................................................................................................240 9 Inference in First-Order Logic...................................................................................... 272 10 Knowledge Representation........................................................................................ 320 IV Planning 11 Planning................................................................................................................. 375 12 Planning and Acting in the Real World.................................................................... 417 V Uncertain knowledge and reasoning 13 Uncertainty........................................................................................................... 462 14 Probabilistic Reasoning............................................................................................ 492 15 Probabilistic Reasoning over Time............................................................................ 537 16 Making Simple Decisions.......................................................................................... 584 17 Making Complex Decisions....................................................................................... 613 VI Learning 18 Learning from Observations.................................................................................... 649 19 Knowledge in Learning............................................................................................... 678 20 Statistical Learning Methods................................................................................... 712 21 Reinforcement Learning............................................................................................ 763 VII Communicating, perceiving, and acting 22 Communication..................................................................................................... 790 23 Probabilistic Language Processing........................................................................... 834 24 Perception................................................................................................................ 863 25 Robotics.................................................................................................................... 901 VIII Conclusions 26 Philosophical Foundations.................................................................................... 947 27 AI: Present and Future........................................................................................... 968 A Mathematical background......................................................................................... 977 B Notes on Languages and Algorithms.......................................................................... 984 Bibliography Index 987 1045