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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1 OR Graphs Depth - first search is good because it allows a solution to be found
without all competing branches having to be ... Usually what happens is that a bit
of depth - first searching occurs as the most promising branch is explored .
If that branch eventually dies out , then we know that at least one guess that led to
it must be wrong . It could be any guess along the branch . In chronological
backtracking we have to assume it was the most recent guess and back up there
For example , when we add a test that has more than two branches , it is possible
that one branch has no corresponding training instances . In that case , we can
either leave the node unlabeled , or we can attempt to guess a label based on ...
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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
Derechos de autor
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