The breadth of A. I. is explored and explained in this best selling text. Assuming no prior knowledge,it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference.
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Chapter 3 Heuristic Search Techniques In the last chapter , we saw that many of
the problems that fall within the purview ... 1 Generate - and - Test The generate
Heuristic Search Techniques Generate-and-Test Hill Climbing Best-First Search
Until now , we have really only discussed two systematic control strategies ,
breadth - first search and depth - first search ( of several varieties ) . In this section
, we discuss a new method , best - first search , which is a way of combining the ...
When would best - first search be worse than simple breadth - first search ? 2 .
Suppose we have a problem that we intend to solve using a heuristic best - first
search procedure . We need to decide whether to implement it as a tree search or
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very poor book for novice.Assumes u already know AI and the language is not at all user friendly.One has to read a sentence repeatedly to get a grasp and some times even then u don't understand.Go for other books much better than this
not soo good to go for novice
Heuristic Search Techniques
Knowledge Representation Issues
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