Artificial Intelligence: A Modern Approach

Book Description
Artificial Intelligence: A Modern Approach, offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.

Table of Contents
Part I: Artificial Intelligence
Chapter 1: Introduction
Chapter 2: Intelligent Agents
Part II: Problem-solving
Chapter 3: Solving Problems by Searching
Chapter 4: Beyond Classical Search
Chapter 5: Adversarial Search
Chapter 6: Constraint Satisfaction Problems
Part III: Knowledge, reasoning, and planning
Chapter 7: Logical Agents
Chapter 8: First-Order Logic
Chapter 9: Inference in First-Order Logic
Chapter 10: Classical Planning
Chapter 11: Planning and Acting in the Real World
Chapter 12: Knowledge Representation
Part IV: Uncertain knowledge and reasoning
Chapter 13: Quantifying Uncertainty
Chapter 14: Probabilistic Reasoning
Chapter 15: Probabilistic Reasoning over Time
Chapter 16: Making Simple Decisions
Chapter 17: Making Complex Decisions
Part V: Learning
Chapter 18: Learning from Examples
Chapter 19: Knowledge in Learning
Chapter 20: Learning Probabilistic Models
Chapter 21: Reinforcement Learning
Part VI: Communicating, perceiving, and acting
Chapter 22: Natural Language Processing
Chapter 23: Natural Language for Communication
Chapter 24: Perception
Chapter 25: Robotics
Part VII: Conclusions
Chapter 26: Philosophical Foundations
Chapter 27: AI: The Present and Future

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
LINK 1 (2nd Ed. | PDF)
LINK 2 (1st Ed. | PDF)
LINK 3 (2nd Ed. | PDF)
LINK 4 (2nd Ed. | DJVU)
LINK 5 (3rd Ed. | PDF)
LINK 6 (Solution Manual)

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