Artificial Intelligence

Artificial Intelligence pdf epub mobi txt 電子書 下載2025

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

关于人工智能,此书无疑是No.1的经典著作,研究生课程的时候就拜读过其中几个章节,受益良多。当时学校图书馆的书店有卖的,当时觉得贵,没有狠下心买,结果后来发现缺货了。这经典著作一缺就是好几年的时间,最后还是终于再版了。 现在要写毕业论文,重新拜读...  

評分

涵容量大,内容较深,但是涉及很多深刻的内容的时候,解释之精炼明了又让人拍案叫绝。无论如何,这本书还是不适合初学人工智能的读者阅读,而适合有一定AI基础,希望有进一步认识的读者阅读。因此,一般作为计算机科学系的研究生课程教材。  

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

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

翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的如何翻译的...  

用戶評價

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概念很多,理解不深

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牛逼

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教授推薦的 上課用參考文獻(找不到德語版的我

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經典,前後讀瞭2遍,前半部分比較難,後半部分比較簡單

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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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