人工智能
Douban
一种现代方法 = Artificial Intelligence : A Modern Approach
Stuart Russell and Peter Norvig
overview
《人工智能:一种现代方法(英文版)》在智能Agent的概念框架下，把人工智能中相互分离的领域统一起来，全书主体内容共有6大部分，包括问题求解、知识与推理、合乎逻辑的行动等。
contents
Summary of Contents
I Artificial Intelligence
l Introduction
2 Intelligent Agents
II Problem-solving
3 Solving Problems by Searching
4 Informed Search Methods
5 Game Playing
III Knowledge and reasoning
6 Agents that Reason Logically
7 First-Order Logic
8 Building a Knowledge Base
9 Inferences in First-Order Logic
10 Logical Reasoning Systems
IV Acting logically
11 Planning
12 Practical Planning
13 Planning and Acting
V Uncertain knowledge and-reasoning
14 Uncertainty
15 Probabilistic Reasoning Systems
16 Making Simple Decisions
17 Making Complex Decisions
VI Learning
18 Learning from Observations
19 Learning in Neural and Belief Networks
20 Reinforcement Learning
2l Knowledge in Learning
VII Communicating, perceiving, and acting
22 Agents that Communicate
23 Practical Natural Language Processing
24 Perception
25 Robotics
VIII Conclusions
26 Philosophical Foundations
27 AI: Present and Future
A Complexity analysis and O() notation
B Notes on Languages and Algorithms
Bibliography
Index
