Artificial Intelligence pdf epub mobi txt 电子书下载 2025

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Stuart Russell was born in 1962 in Portsmouth, England. He received his B.A. with first-class honours in physics from Oxford University in 1982, and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is a professor of computer science, director of the Center for Intelligent Systems, and holder of the Smith–Zadeh Chair in Engineering. In 1990, he received the Presidential Young Investigator Award of the National Science Foundation, and in 1995 he was cowinner of the Computers and Thought Award. He was a 1996 Miller Professor of the University of California and was appointed to a Chancellor’s Professorship in 2000. In 1998, he gave the Forsythe Memorial Lectures at Stanford University. He is a Fellow and former Executive Council member of the American Association for Artificial Intelligence. He has published over 100 papers on a wide range of topics in artificial intelligence. His other books include The Use of Knowledge in Analogy and Induction and (with Eric Wefald) Do the Right Thing: Studies in Limited Rationality.

Peter Norvig is currently Director of Research at Google, Inc., and was the director responsible for the core Web search algorithms from 2002 to 2005. He is a Fellow of the American Association for Artificial Intelligence and the Association for Computing Machinery. Previously, he was head of the Computational Sciences Division at NASA Ames Research Center, where he oversaw NASA’s research and development in artificial intelligence and robotics, and chief scientist at Junglee, where he helped develop one of the first Internet information extraction services. He received a B.S. in applied mathematics from Brown University and a Ph.D. in computer science from the University of California at Berkeley. He received the Distinguished Alumni and Engineering Innovation awards from Berkeley and the Exceptional Achievement Medal from NASA. He has been a professor at the University of Southern California and a research faculty member at Berkeley. His other books are Paradigms of AI Programming: Case Studies in Common Lisp and Verbmobil: A Translation System for Face-to-Face Dialog and Intelligent Help Systems for UNIX.

出版者:Pearson

作者:Stuart Russell

出品人:

页数:1152

译者:

出版时间:2009-12-11

价格:USD 195.00

装帧:Hardcover

isbn号码:9780136042594

丛书系列:

图书标签:

人工智能
AI
Artificial.Intelligence
计算机
计算机科学
CS
算法
机器学习

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The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For computer professionals, linguists, and cognitive scientists interested in artificial intelligence.

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读后感

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一样的清新醒目，一样的幽默风趣，Monty Python里的大段搞笑台词，故事书风格的"in which"章节概要。不同的是时下统计大热，第二版也增加了大量的统计推断和学习理论。只是同专门论述统计学习的书籍比起来，篇幅所限，跳跃还是太快，讲解也只能从简。不过，我一直最佩服Peter N...

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必读书，不过内容已很多过时 p1027 A strong challenge to functionalism has been mounted by John Searle’s (1980) biological naturalism, according to which mental states are high-level emergent features that are caused by low-level physical processes in the ne...

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疯狂的书~~~ 深度和广度俱佳，理论讲解透彻，实践细节准确，语言通俗，对人工智能的归类和划分有启发意义。

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疯狂的书~~~ 深度和广度俱佳，理论讲解透彻，实践细节准确，语言通俗，对人工智能的归类和划分有启发意义。

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基本上一本书被称为经典, 就没人敢去反驳他了. 因为你觉得不好大家就会说你水平不行. 就好像你说乔丹不如科比是绝B会被爆一样... 这本书我只能说如果你真的是理解能力很差, 或者毫无自学能力... 那这本书会是本好书... 但你理解能力稍微有一点, 也懂得自己利用网络去找不懂的...

用户评价

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三主线，强化学习，图模型，神经网络

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The best AI intro-- search, logic, and machine learning-- creating an AI needs a generalist leading three major teams if specialists. Highly recommend.

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确实大而全。毕竟篇幅有限，它更多起到索引的作用。但是我有三点不满：一是不少内容本可以写得更intuitive；二是希望能更explicitly区分需要详细讲解的重要内容、值得了解的技术细节、只需要了解背后思想或者相关研究的问题、有兴趣的读者可以自行探索的部分——虽然只是很模糊的感觉，但确实感到一些内容有错位之嫌；三是希望作为教材，这本书不仅是把研究按领域分门别类地综述，更能提供一个系统性的脉络。

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绝对超级逼逼叨

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概念很多，理解不深