Here are some guidelines for winnowing the available books to a handful of
candidates:
- Compare the book’s table of contents with the schedule
to make sure the topics mentioned in the schedule (both the section
titles and the lecture titles) appear in the table of contents.
You can also look in the index, but a topic mentioned in the
table of contents suggests more thorough coverage than a topic
mentioned only in the index (although a topic with a sizeable
index entry suggests thorough coverage too).
- Compare test questions and answers in previous versions of
the course to the material covered in the book. The book may not
lay out the answer (you are, after all, dealing with test
questions), but you should be able to piece together the questions
and answers from relevant parts of the book.
Once you have the candidate books, you can use your tastes and preferences
to pick the final one or two books for the course.
Books with call numbers can be found in the
Guggenheim Library. Linked material from
the ACM or the IEEE can be downloaded for free from the library within the
monmouth.edu
domain.
Artificial Intelligence: A Guide to Intelligent Systems, 2nd edition,
by Michael Negnevitsky from Addison-Wesley, 2005.
Simple, straightforward explanations of intelligent systems built using
knowledge-based systems, neural networks, fuzzy systems, evolutionary
computation and intelligent agents. Depending on your mood, the Q & A
format can get annoying.
Artificial Intelligence: A Modern
Approach, 3rd edition, by Stuart Russell and Peter Norvig from Prentice
Hall, 2010.
The big kahuna. An epic, sprawling book, it requires a fair degree of
horsepower and perseverance when dealt with mano a mano.
Intelligent
Systems for Engineers and Scientists, 3rd edition, by Adrian Hopgood, CRC
Press, 2011.
Intelligent systems based on models either explicitly knowledge-based or
implicitly numeric. Simpler and less mathematical than Negnevitsky, its
not quite a cookbook
Intelligent
Systems: Principles, Pradigms, and Pragmatics by Robert Schalkoff, Jones
and Bartlett, 2011.
An intense book like Russell and Norvig, often more unrelievedly
mathematical.
This page last modified on 2015 January 20.
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