人工智能

内容概要

作者：(美国)拉塞尔 (tuartRussell) (美国)诺文 (PeterNorvig)

书籍目录

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

作者简介

《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。

图书封面

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