mgreen@cs.toronto.edu (Marc Green) (03/22/91)
I'm looking for suggestions for a text to use in a two term AI course that I'll be teaching next year. The class will be a broad spectrum of cs, psych and possibly business students, so the technical level of the book shouldn't be too tough and should not depend on any programming language. On the other hand, some cognitive science would be nice. I've already ruled out Charniak and McDermott (too advanced), Rich (too old), Nilson (too technical), Winston (I just don't like it) and anything with "Expert System" in the title or with big sections on lisp. The closest thing I've found is Fischler and Firschein, but it's a bit too light. Suggestions appreciated. The bookstore is getting antsy. Marc Green Trent University
kend@data.UUCP (Ken Dickey) (03/27/91)
mgreen@cs.toronto.edu (Marc Green) writes: >I'm looking for suggestions for a text to use in a two term AI course >that I'll be teaching next year. Take a look at _Programming for Artificial Intelligence: Methods, Tools, and Applications_ by Kreutzer & McKenzie, Addison Wesley, 1991 [ISBN 0-201-41621-2]. It gives a pretty fair coverage of concepts and includes "toolbox" code (also available on disk). Examples are given in Prolog, Scheme, and Smalltalk, and the book is fairly readable overall. If you see this as too heavyweight, look at _What Every Engineer Should Know About AI_ (I forget the author(s)). -Ken Dickey kend@data.uucp