Up: READING LIST FOR
This section gives references to introductory texts in AI. Read one
of them (we suggest Rich & Knight) cover to cover and look at the
others to get a broad view of the field.
(*) One might want to read the more
up to date Russel & Norvig (but somewhat thicker) instead of Rich &
- [Russel and Norvig1995] (*) Artificial Intelligence, a Modern
A comprehensive and up to date survay of AI. It is somewhat biased
towards Hot issues (e.g., Probabilistic Reasoning), than others (e.g.,
Nonmonotonic Reasoning), but has a very good index, and very clear
explanations, besides being thoroughly extensive. Its weakness lies in what
it does not have (e.g., Expert Systems).
- [Rich and Knight1991] Artificial Intelligence 2nd ed.
This book provides the basics for a substantial portion of the AI
field. It is recommended that you read the appropriate sections
of this book before each section in this list, and then reread the
book cover to cover before the exam to see that you understand the
The book has many references you will recognize on second reading,
but it does not cover learning, robotics, and vision in
- [Winston1992] Artificial Intelligence.
The sections on search are good, and so is some of the material on learning
(especially Chapter 22 on neural nets).
- [Ginsberg1993] Essential of AI.
A formal approach to AI.
- [Kantrowitz1993] Answers to Frequently Asked Questions in AI.
An excellent guide to AI in cyberspace and in the libraries. What
are important publications in AI, how to get some of them
electronically. Attempts to answer many frequently asked
questions (or at least raises the awareness of how hard it is to
Sun Apr 27 16:02:41 PDT 1997