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.
  
   
   
  
  
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