These are on reserve to be used for both Artificial Intelligence courses I'm teaching: CSU520 and CSG120.
Akmajian, A. (2001). Linguistics: An introduction to language and communication (5th ed.). Cambridge, Mass.: MIT Press.
Brachman, R. J., & Levesque, H. J. (2004). Knowledge representation and reasoning. San Francisco, CA: Elsevier/Morgan Kaufmann.
Clocksin, W. F., & Mellish, C. S. (2003). Programming in Prolog (5th ed.). Berlin; New York: Springer.
Dale, R., Moisl, H., & Somers, H. L. (2000). Handbook of natural language processing. New York: Marcel Dekker.
Mitchell, T. M. (1997). Machine learning. New York: McGraw-Hill.
Mitkov, R. (2003). The Oxford handbook of computational linguistics. Oxford; New York: Oxford University Press.
Norvig, P. (1992). Paradigms of artificial intelligence programming: Case studies in Common LISP. San Mateo, Calif.: Morgan Kaufman Publishers. <== COURSE TEXT #1
Russell, S. J., & Norvig, P. (2003). Artificial intelligence: A modern approach (2nd ed.). Upper Saddle River, N.J.: Prentice Hall/Pearson Education. <== COURSE TEXT #2
Seibel, P. (2005). Practical COMMON LISP. Berkeley, CA: Apress.
Weiss, S. M., & Kulikowski, C. A. (1991). Computer systems that learn: Classification and prediction methods from statistics, neural nets, machine learning, and expert systems. San Mateo, Calif.: M. Kaufmann Publishers.
Witten, I. H., & Frank, E. (2005). Data mining: Practical machine learning tools and techniques (2nd ed.). Amsterdam; Boston, MA: Morgan Kaufman.
Return to Futrelle's Teaching Gateway or homepage