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http://www.cis.temple.edu/~ingargio/index.html AI Courses - Giorgio IngargiolaA comprehensive list. Try this if none of my suggestions on this page are suitable.

http://www.cs.nott.ac.uk/~sbx/ AIM - Steve BelleguelleAn online course on AI.

http://library.thinkquest.org/2705/index.html An Introduction to the Science of Artificial IntelligenceA web site aimed at students.

http://www.cogs.susx.ac.uk/users/christ/ MLCOURSE teachpack - Chris ThorntonFormerly published as web pages, this is now available only as postscript. Machine learning for behavior acquisition by a mobile robot. Much of the content relies on the robot only for motivation.

以上为AI站点以下为genetic algorithms（遗传算法）资源站点

ftp://ftp.cs.wayne.edu/pub/EC/FAQ/ Evolutionary Computation FAQ - David BeasleyThis ftp directory contains a multi-part "Frequently-Asked Questions" list, including brief explanations of different kinds of genetic algorithms and many references. Check the NEWS file for a table of contents; I can't make a link to it because its name keeps changing. The FAQ is also available in HTML in less-complete form.

ftp://ftp.cs.wayne.edu/pub/EC/GA/papers/over93.ps.gz An overview of genetic algorithms: Part 1, fundamentals (1993, 16 pages)David Beasley, David R. Bull, Ralph R. MartinThis compressed postscript paper goes into more detail on how and why GA's work, but doesn't have as many references.

http://www.geneticprogramming.com/Tutorial/index.htmlThe Genetic Programming Tutorial Notebook - Jaime FernandezIn genetic programming, the solutions you evolve are themselves computer programs. That's as much power as you can get.

以下为neural networks（神经网络）资源站点

ftp://ftp.sas.com/pub/neural/FAQ.html Neural Networks FAQThis "Frequently-Asked Questions" list only has a little tutorial information in it, but it mentions good books and journal articles for beginners.

http://www.shef.ac.uk/psychology/gurney/notes/index.html Neural Nets Course - Kevin GurneyLecture notes, homework, software, and other information for a graduate-level neural networks course. It looks self-contained; you should be able to work through the course on your own.

http://www.dontveter.com/http://www.dontveter.com/
bp
r/bpr.html Backpropagator's Review - Don TveterA broad review of backpropagation neural networks, with explanations, advice, and information about many variants on the basic algorithm.

以下为机器学习资源站点http://web.cps.msu.edu/rlr/http://web.cps.msu.edu/rlr/backgr.html Background Information for those relatively new to RLGetting-started links from the Reinforcement Learning Repository. The resources here are unusually good--they include a few tutorials and an entire online book. It will still help if you already know something about machine learning before you try to tackle this subfield.

以下为game theory（对策论）站点

http://william-king.www.drexel.edu/http://www.lebow.drexel.edu/economics/mccain/game/game.html An Introductory Sketch of Game Theory - Roger A. McCainBy an economist.

http://levine.sscnet.ucla.edu/index.htm Economic and Game Theory - David LevineThe site includes getting-started information and a good collection of links, as well as specialist resources. The emphasis on economics is moderate.

--To Be Continue--