AI url

本文汇总了人工智能领域的知名学者主页、经典著作及编程资源。包括John McCarthy、Marvin Minsky等人的个人页面链接,以及《人工智能:现代方法》等教材的在线资源。还提供了AI编程入门建议与常用软件清单。

转自 http://blog.youkuaiyun.com/yyhustim/article/details/8163760

大家:

John McCarthy's Home Page

http://www-formal.stanford.edu/jmc/frames.html

Marvin Minsky's Home Page

http://web.media.mit.edu/~minsky/

Patrick Henry Winston's Home Page

http://people.csail.mit.edu/phw/index.html

Peter Norvig 

http://norvig.com/index.html


阅读列表:

How to do Research At the MIT AI Lab

http://dspace.mit.edu/handle/1721.1/41487

READING LIST FOR THE QUALIFYING EXAMINATION IN ARTIFICIAL INTELLIGENCE

http://www-cs-students.stanford.edu/~pdoyle/quail/syllabus/syllabus.html

http://www-formal.stanford.edu/eyal/qual/revised-list.ps (对应的ps文档)

Intelligent Systems - PhD Qualifying Exam Reading List

http://www.cc.gatech.edu/is/is-qual/readings/index.html

AI FAQ Index

http://www.faqs.org/faqs/ai-faq/


著作:

Artificial Intelligence: A Modern Approach

http://aima.cs.berkeley.edu/

Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp

http://norvig.com/paip.html

Pattern Recognition and Machine Learning

http://research.microsoft.com/en-us/um/people/cmbishop/PRML/index.htm

Machine Learning, Tom Mitchell, McGraw Hill, 1997.

http://www.cs.cmu.edu/~tom/mlbook.html

Artificial Intelligence: Foundations of Computational Agents

http://www.cs.ubc.ca/~poole/aibook/html/ArtInt.html

Machine Learning: a Probabilistic Perspective
http://www.cs.ubc.ca/~murphyk/MLbook/index.html


编程:

== 一些LISP资源的链接 ==(我收集在csdn上的)

http://blog.youkuaiyun.com/yyhustim/article/details/8163704

What is the best way to get started in artificial intelligence programming?

http://stackoverflow.com/questions/4006793/what-is-the-best-way-to-get-started-in-artificial-intelligence-programming

Language Requirements for AI Development [closed]

http://stackoverflow.com/questions/3522064/language-requirements-for-ai-development

Good Programming Languages for AI

http://cseweb.ucsd.edu/classes/sp00/cse151/q1/crocha.html

a list of some machine learning software. Many of them are open source (the linked page shows the licenses).

http://www.dmoz.org/Computers/Artificial_Intelligence/Machine_Learning/Software/

The Apache Mahout™ machine learning library's goal is to build scalable machine learning libraries.

http://mahout.apache.org/

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