本书被全世界89个**的900多所大学用作教材。
本书以详尽和丰富的资料,从理性智能体的角度,全面阐述了人工智能领域的核心内容,并深入介绍了各个主要的研究方向。全书分为8大部分:**部分“人工智能”,第二部分“问题求解”,第三部分“知识与推理”,第四部分“规划”,第五部分“不确定知识与推理”,第六部分“学习”,第七部分“通信、感知与行动”,第八部分“结论”。本书既详细介绍了人工智能的基本概念、思想和算法,还描述了其各个研究方向*前沿的进展,同时收集整理了详实的历史文献与事件。另外,本书的配套网址http://aima.cs.berkeley.edu/为教师和学生提供了大量教学和学习资料。
本书适合于不同层次和领域的研究人员及学生,是高等院校本科生和研究生人工智能课的**教材,也是相关领域的科研与工程技术人员的重要参考书。

I Artificial Intelligence
1 Introduction
2 IntelligentAgents
11 Problem-solving
3 Solving Problems by Searching
4 Informed Search and Exploration
5 Constraint Satisfaction Problems
6 Adversarial Search
Ill Knowledge and reasoning
7 Logical Agents
8 First-Order Logic
9 Inference in First-Order Logic
10 Knowledge Representation
IV Planning
11 Planning
12 Planning and Acting in the Real WOrld
V Uncertain knowledge and reasoning
13 Uncertainty
14 Probabilistic Reasoning
15 Probabilistic Reasoning over Time
16 Making Simple Decisions
17 Making Complex Decisions
VI Learning
18 Learning from Observations
19 Knowledge in Learning
20 Statistical Learning Methods
21 Reinforcement Learning
Vll Communicating, perceiving, and acting
22 Communication
23 Probabilistic Language Processing
24 Perception
25 Robottes
Vlll ConCluSionS
26 Philosophical Foundations
27 Al: Present and Future
A Mathematical background
B Notes on Languages and Algorithms.
Bibliography
Index