Books (Last updated 19 Jan 2008)  

Text:

• Artificial Intelligence: A Modern Approach, Second Edition, S. J. Russell and P. Norvig. Prentice Hall, 2003. ISBN: 0137903952

Selected reading (recommended books, on reserve in CIS Library):

• Neural Networks for Pattern Recognition, C. M. Bishop. Oxford University Press, 1995. ISBN: 0198538499
• Genetic Algorithms in Search, Optimization, and Machine Learning, D. E. Goldberg. Addison-Wesley, 1989. ISBN: 0201157675

Additional bibliography (excerpted in course notes and handouts):

• Machine Learning, T. M. Mitchell. McGraw-Hill, 1997. ISBN: 0070428077
• Advances in Knowledge Discovery and Data Mining, U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, eds. MIT Press, 1996. ISBN: 0262560976
• Readings in Machine Learning, J. W. Shavlik and T. G. Dietterich, eds. Morgan Kaufmann, 1990. ISBN: 1558601430
• Readings in Computer Inference and Knowledge Acquisition, B. G. Buchanan and D. C. Wilkins, eds. Morgan Kaufmann, 1993. ISBN: 1558601635
• Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Revised Second Printing, J. Pearl. Morgan Kaufmann, 1991. ISBN: 1558604790
• Genetic Programming: On The Programming of Computers by Means of Natural Selection, J. Koza. MIT Press, 1992. ISBN: 0262111705
• Pattern Classification and Scene Analysis, R. O. Duda and P. E. Hart. John Wiley and Sons, 1973. ISBN: 0471223611

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