An Annotated Bibliography

Intelligent Systems
Spring 2015


Book Selecting Guidelines

Here are some guidelines for winnowing the available books to a handful of candidates:

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.

Textbooks

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.

Other Material


This page last modified on 2015 January 20.

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