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Artificial Intelligence: A Modern Approach

14 years 11 months ago
Artificial Intelligence: A Modern Approach
"Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continuous mathematics; perception, reasoning, learning, and action; and everything from microelectronic devices to robotic planetary explorers. The book is also big because we go into some depth in presenting results, although we strive to cover only the most central ideas in the main part of each chapter. Pointers are given to further results in the bibliographical notes at the end of each chapter. This book is primarily intended for use in an undergraduate course or course sequence. It can also be used in a graduate-level course (perhaps with the addition of some of the primary sources suggested in the bibliographical notes). Because of its comprehensive coverage and large number of detailed algorithms, it is useful as a primary reference volume for AI graduate students and professionals wishing to branch ou...
Stuart Russell and Peter Norvig
Added 19 Apr 2009
Updated 19 Apr 2009
Authors Stuart Russell and Peter Norvig
Part I Artificial Intelligence
     1 Introduction
     2 Intelligent Agents
Part II Problem Solving
     3 Solving Problems by Searching
     4 Informed Search and Exploration
     5 Constraint Satisfaction Problems (pdf)
     6 Adversarial Search
Part III Knowledge and Reasoning
     7 Logical Agents (pdf)
     8 First-Order Logic
     9 Inference in First-Order Logic
    10 Knowledge Representation
Part IV Planning
    11 Planning (pdf)
    12 Planning and Acting in the Real World
Part V Uncertain Knowledge and Reasoning
    13 Uncertainty
    14 Probabilistic Reasoning
    15 Probabilistic Reasoning Over Time
    16 Making Simple Decisions
    17 Making Complex Decisions
Part VI Learning
    18 Learning from Observations
    19 Knowledge in Learning
    20 Statistical Learning Methods (pdf)
    21 Reinforcement Learning
Part VII Communicating, Perceiving, and Acting
    22 Communication
    23 Probabilistic Language Processing
    24 Perception
    25 Robotics
Part VIII Conclusions
    26 Philosophical Foundations
    27 AI: Present and Future
    Bibliography (pdf and counts)
    Index (html or pdf)
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