《人工智能(智能系统指南,第二版)》读书笔记——2、第一章

知识型智能系统概览
本文探讨了知识型智能系统的多个方面,包括基于规则的专家系统、不确定性管理、模糊专家系统、框架基专家系统等,并回顾了人工智能的发展历程,从图灵测试到现代的混合智能系统。
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1. introduction to knowledge-based intelligent systems(summary / questions for review / references)

2. rule-based expert systems

3. uncertainty management in rule-based expert systems

4. fuzzy expert systems

5. frame-based expert systems

6. artificial neural networks

7. evolutionary computation

8. hybrid intelligent systems

9. knowledge engineering and data mining


1. introduction to knowledge-based intelligent systems

turing imitation game:

two phases: 1)a men deceive a interrogator that he is a woman,a woman convince the interrogator that she is a woman; 2)the man is replaced by a computer. if the computer can fool the interrogator as often as the man did, we may say the computer has passed the intelligent behaviour test.

history:

"dark ages",the birth of AI: 1943-56

the rise of AI: 1956-late 1960s

unfulfilled promises: late 1960s-early 1970s

expert system(key to success): early 1970s-mid 1980s

neural networks(let machine learn): mid 1980s-onwards

evolutionary computation(learning by doing): early 1970s-onwards

knowledge engineering(computing with words): late 1980s-onwards



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