
人工智能范型
Paradigms of Artificial Intelligence
Peter Norvig · 初版 1992 年
63人推荐
108位读者提及
169次提及
为什么值得读
- 践行通过阅读优质代码而非仅动笔写来学习的理念
- 比大部头理论书更注重实用算法案例的实操落地
- 蕴含超越时代且经受时间考验的历久弥新设计思想
Hacker News 上怎么说
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Paradigms of Artificial Intelligence
Peter Norvig · 初版 1992 年
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……《计算理论导引》- Sisper、《信息论、推理与学习算法》- MacKay、《现代操作系统》- Tanenbaum、《On Lisp》- Graham、《黑客与画家》- Graham、《人工智能编程范式》- Norvig、《模式识别与机器学习》- Bishop、《Java语言规范》- Gosling、Joy、Steele、《学习Python》- Lutz & Ascher、《Erlang程序设计》- Armstrong、《Ruby程序设计》-……
…Introduction to the Theory of Computation - Sisper Information Theory, Inference, and Learning Algorithms - MacKay Modern Operating Systems - Tanenbaum On Lisp - Graham Hackers & Painters - Graham Paradigms of Artificial Intelligence - Norvig Pattern Recognition and Machine Learning - Bishop The Java Language Specification - Gosling, Joy, Steele Learning Python - Lutz & Ascher Programming Erlang - Armstrong Programming Ruby -…
相比 AIMA,我更喜欢 Peter Norvig 写的《人工智能编程范式》(Paradigms of Artificial Intelligence),我觉得 AIMA 实在太像百科全书、太浮于表面了。虽然有人会说它过时了,但我认为它提出了很多永不过时的理念,稍微……很快就会重新流行起来。
I love Paradigms of Artificial Intelligence by Peter Norvig much more than AIMA, which I found excessively encyclopedic and shallow. While some will argue it is dated, I think it presents many timeless ideas that will get in vogue soon with little…
给还不知情的人科普一下,Norvig 是《人工智能编程范式》(Paradigms of Artificial Intelligence Programming)的作者。这本书是对计算机科学教育文献领域的一大实质性贡献,还推动了“学习不仅要写、更要读代码”这一理念的普及。它也是……
For anyone not in the loop, Norvig was the author of Paradigms of Artificial Intelligence Programming. This was a substantial contribution to the field of educational computer science literature, and helped to kickstart the idea that the way to learn is to read, not just write. It's also…
Peter Norvig 写的《人工智能编程范式:Common Lisp 案例研究》(Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp)也非常棒。
"Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp" by Peter Norvig is also excellent.
是啊,那绝对是一本讲机器学习实用的好书(但严格来说并不算正统的 AI)。如果想找一本关于 AI 本身的实用书籍,Norvig 的《人工智能编程范式》(http://norvig.com/paip.html )是本神书,而且很适合作为 Norvig 和 Russell 那本更偏理论的书的绝佳补充。
Yeah, that's definitely a nice, practical book for machine learning stuff (but not really AI proper). For a practical book on AI itself, Norvig's Paradigms of Artificial Intelligence Programming: http://norvig.com/paip.html is a great book, and a nice complement to Norvig and Russell, which is somewhat more theory-oriented.
嗯……我自己心里难忘的编程书单大概是这样的(排名不分先后):1.《人月神话》,Brooks 2.《人件》,DeMarco 和 Lister 3.《人工智能编程范式》,Norvig 4.《C程序设计语言》,Kernighan 和 Ritchie 5.《The Ruby Way》,Fulton。我很纠结要不要把《程序员修炼之道》放进去,最后我决定……
Hmmm... my own list of memorable programming books would look like (in no specific order): 1. The Mythical Man Month, Brooks 2. Peopleware, DeMarco and Lister 3. Paradigms of Artificial Intelligence Programming, Norvig 4. The C Programming Language, Kernighan and Ritchie 5. The Ruby Way, Fulton I had a hard time deciding whether or not to include the Pragmatic Programmer, in the end I decided…