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人工智能:现代方法(第4版)笔记

项目背景

《人工智能:现代方法》是一本人工智能大百科全书,自1995年第一版上市以来畅销至今,被全球135个国家的1500多所学校、国内32所高校采用为教材,可谓是全球最权威、最经典的人工智能畅销教材,第四版是近十年重要更新版本。
作者为AI领域的两位大牛:斯图尔特•罗素(Stuart Russell),加利福尼亚大学伯克利分校计算机科学系教授;彼得•诺维格(Peter Norvig)谷歌公司研究总监,美国宇航局艾姆斯研究中心计算科学部负责人,美国艺术与科学院和加利福尼亚科学院的院士。
全书试图全方位探索人工智能领域,书中内容涵盖逻辑、概率和连续数学,感知、推理、学习和行动,以及公平、信任、社会公益和安全。本次课程主要学习其中的绪论、智能体和应用搜索解决问题方法三部分内容。我们将共读《人工智能:现代方法》,梳理读书笔记与习题解读。

任务安排

本次课程只学习书本的前三章,如果对后续内容感兴趣,可以后续再自行学习

Task 内容 时间
Task01 第1章 绪论 1-16 —— 1-19
Task02 第2章 智能体 1-19 —— 1-22
Task03 3.1-3.3 问题求解智能体、问题示例、搜索算法 1-22 —— 1-26
Task04 3.4 无信息搜索策略 1-26 —— 1-30
Task05 3.5 有信息(启发式)搜索策略 1-30 —— 2-3
Task06 3.6 启发式函数 2-3 —— 2-5
Task07 总结与回顾 2-5 —— 2-6

拓展材料

书籍配套代码:https://github.com/aimacode

购书福利

Datawhale专属五折优惠
平装版:https://u.jd.com/4dVt4LN
精装版:https://u.jd.com/4CVwOPv

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