   AI Math Book?
  I've been reading through the book "3D Math Primer for Graphics and Game Development".  I've found it to be an enjoyable and useful book.  For the most part it teaches linear algebra concepts from the ground up, focusing on the uses of it that tend to me more useful for graphics / game programming.  Likewise, they do discuss some theory to help you better understand the concepts, but there is a certain point where they lay off on the proofs, not spending several pages proving each theorem for n cases.  Finally, there is discussion of "graphics only" math as they bust out the math needed for a graphics pipeline.I was wondering if I could find an "equivalent" AI math book.  From what I've seen, AI requires statistics, probability, and discrete structures type math (ie graphs).  I'm really not knowledgable on AI, though in seeking it I think it would be useful to have a second book that soley focuses on the math used in AI.  Obviously the math would be more application based than proof based.Does anyone know of such a book, or is there a book for another discipline that would meet this purpose?   
  The closest thing I know to what you are asking for is the book Behavioral Mathematics for Game AI by Dave Mark (who hangs around these forums).Unlike Computer Graphics, the field of AI doesn't have a small set of standard approaches that everybody uses, so it's harder to know what kind of Math you will end up using. I did enjoy the book, although it doesn't get at all into knowledge representation, Bayesian statistics or other areas that I think are also important for game AI. I guess the book had to be finite. :);  Thanks for the suggestion - it sounds useful.No bayesian statistics?  That's one of the ones I was really interested in...Does anyone know of an AI math book that covers bayesian statistics and covariance matrices?   