书籍介绍

这不是一本让人一口气读下去的书，而是一座需要反复查阅的智力建筑。读者提到它「很厚很全」「人工智能领域圣经」，也坦言它是克利夫加州立大学CS188课程的指定教材、是无数人当年的课本。它打动人的地方恰恰在于这种「教科书式」的诚实：从完整性、最优性、时间复杂度、空间复杂度四个维度严格衡量每个搜索算法，把「记住历史」与「节省内存」之间的取舍掰开揉碎。它不追逐热点，而是把智能体、知识表示、推理、学习等核心范式系统铺陈，成为从业者遇到概念争议时默认对质的权威。适合想要真正理解AI「现代方法」如何搭建、而非只追算法潮流的读者——前提是你愿意被它的厚度劝退。

AI导读

核心看点

AI领域权威教材，全球千所高校选用
系统覆盖搜索、推理、学习等核心方法
以智能体视角重构AI理论，内容全面

读者共识

公认的人工智能领域圣经级教科书
概念定义权威，是解决争议的参考
幽默风趣，兼具深度与广度，经典

精彩摘录

"不记得历史的算法注定要重复历史。有3种方法可以解决这一问题。第一，我们可以记住之前到达的所有状态（就像最佳优先搜索一样），这样能够检测到所有冗余路径，并只保留每个状态的最优路径。这适用于存在大量冗余路径的状态空间，当内存可以容纳下已达状态表时，它是首选方法。第二，我们不必担心对过去的重复。在一些问题形式化中，很少或不可能出现两条路径到达相同状态。以装配问题为例，每个动作都会将一个零件添加到一个不断发展的装配中，零件是有序的，因此可以先添加A，然后再添加B，但不能先添加B，然后再添加A。对于这些问题, 如果我们不记录已达状态也不检查冗余路径，则可以节省内存空间。如果搜索算法会检查冗余路径，"
"We can evaluate an algorithm's performance in four ways: Completeness: Is the algorithm guaranteed to find a solution when there is one? Optimality: Does the strategy find the optimal solution? Time complexity: How long does it take to find a solution? Space complexity: How much memory is needed to "
"斯图尔特•罗素教授和彼得•诺维格博士的《人工智能：现代方法》一书，是美国最为经典、最具权威性的大学教科书。说它经典，是因为这本书长期以来都是美国大部分知名大学人工智能课程的教科书，今天也已经被全世界1500多所大学采用为教材，其内容覆盖了到每一版出版时为止世界人工智能的主流技术和方法。说它权威，是因为这本书是几乎所有人工智能从业者的参考书，但凡人们对某些人工智能的概念发生争议时，就会以这本书的讲述为准。 2002年，我有幸成为诺维格博士的下属，先后在谷歌公司的搜索部门以及研究部门从事与机器学习相关的工作。诺维格博士是作为人工智能专家和科技管理者，被谷歌公司请来负责研发工作的。在我和他共事的"
"AI currently encompasses a huge variety of subfields, ranging from the general (learning and perception) to the specific, such as playing chess, proving mathematical theorems, writing poetry, driving a car on a crowded street, and diagnosing diseases. AI is relevant to any intellectual task; it is t"
"The Turing Test, proposed by Alan Turing (1950), was designed to provide a satisfactory operational definition of intelligence. A computer passes the test if a human interrogator, after posing some written questions, cannot tell whether the written responses come from a person or from a computer."
"•natural language processing to enable it to communicate successfully in English; •knowledge representation to store what it knows or hears; •automated reasoning to use the stored information to answer questions and to draw new conclusions; •machine learning to adapt to new circumstances and to dete"
"Aristotle (384-322 B.C.), whose bust appears on the front cover of this book, was the first to formulate a precise set of laws governing the rational part of the mind. He developed an informal system of syllogisms for proper reasoning, which in principle allowed one to generate conclusions mechanica"
"Notice that we said environment states, not agent states. if we define success in terms of agent's opinion of its own performance, an agent could achieve perfect rationality simply by deluding itself that its performance was perfect. Human agents in particular are notorious for "sour grapes"—believi"