人工智能 一种现代方法 英文版PDF电子书下载

Ⅰ Artificial Intelligence 1

1 Introduction 3

2 Intelligent Agents 31

Ⅱ Problem-solving 53

3 Solving Problems by Searching 55

4 Informed Search Methods 92

5 Game Playing 122

Ⅲ Knowledge and reasoning 149

6 Agents that Reason Logically 151

7 First-Order Logic 185

8 Building a Knowledge Base 217

9 Inference in First-Order Logic 265

10 Logical Reasoning Systems 297

Ⅳ Acting logically 335

11 Planning 337

12 Practical Planning 367

13 Planning and Acting 392

Ⅴ Uncertain knowledge and reasoning 413

14 Uncertainty 415

15 Probabilistic Reasoning Systems 436

16 Making Simple Decisions 471

17 Making Complex Decisions 498

Ⅵ Learning 523

18 Learning from Observations 525

19 Learning in Neural and Belief Networks 563

20 Reinforcement Learning 598

21 Knowledge in Learning 625

Ⅶ Communicating,perceiving,and acting 649

22 Agents that Communicate 651

23 Practical Natural Language Processing 691

24 Perception 724

25 Robotics 773

Ⅷ Conclusions 815

26 Philosophical Foundations 817

27 AI:Present and Future 842

A Complexity analysis and O()notation 851

B Notes on Languages and Algorithms 854

Bibliography 859

Index 905