Artificial Intelligence pdf epub mobi txt 電子書下載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:

頁數:1152

译者:

出版時間:2009-12-11

價格:USD 195.00

裝幀:Hardcover

isbn號碼:9780136042594

叢書系列:

圖書標籤:

人工智能
AI
Artificial.Intelligence
計算機
計算機科學
CS
算法
機器學習

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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.

具體描述

讀後感

評分☆☆☆☆☆

正本书的思维和逻辑是非常清晰的，适合各个水平的人看。可以看下微信公众ID：readsense 里面的内容，主要讲述人工智能、计算机视觉、嵌入式视觉的干货和诸多案例。人工智能从发展到今天一路坎坷也一路欣喜，从实验室到工业车间再到消费级的应用场景，正在一步步改变着人们的...

評分☆☆☆☆☆

这本书不是很好懂的，对于自学的初学者而言。我自学的，看这本书，半懂不懂的，最大的困难还是在逻辑那一块吧。这本书很全面，虽然不敢说把人工智能（包括机器学习）领域的一切都包括了吧，但是至少概况是都覆盖到了。或许正是这么全面的原因，也或许是译者翻译的原因，也有...

評分☆☆☆☆☆

国内的人民邮电出过一本中译版，说老实话翻译的很差，非常影响阅读如果真的有心读这本书的话，还是要看英文原版这本书是一本指导性的AI书籍，哪个方向都涉及的不深，不过当需要查阅资料，尤其是概念性的资料的时候，这本书却是一个很不错的选择

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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...

用戶評價

评分☆☆☆☆☆

前前後後啃瞭一年，今天伴隨著把Stanford AI課學完，終於也把這書看完瞭。下周三做個pre，這幾天好好準備：）

评分☆☆☆☆☆

概念很多，理解不深

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老美寫書能不能不要這麼囉嗦！！！

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這學期的教材，讀瞭大概50-60%的內容。大而全，優點是麵麵俱到，缺點是無法dive into details. 脈絡還是比較清晰的，從Agent齣發，探討不同的問題和子領域。像Search, Adversarial Search和Planning這幾章寫的就很有味道。但是一些比較偏計算的內容如HMM，顯然不夠精細，有時候也有冗文之嫌，這些地方還是建議參考其他材料。總的來說是Best Introduction to AI as a whole.

评分☆☆☆☆☆

前前後後啃瞭一年，今天伴隨著把Stanford AI課學完，終於也把這書看完瞭。下周三做個pre，這幾天好好準備：）