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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Syntactic Analysis — Linear sequences of words are transformed into structures
that show how the words relate to each other . Some word sequences may be
rejected if they violate the language ' s rules for how words may be combined .
Many ambiguities that would arise during a strictly syntactic parse can be
avoided since some of the interpretations do not make sense semantically and
thus cannot be generated by a semantic grammar . Consider , for example , the
Montague Semantics Recall that we argued in Section 15 . 1 . 1 that the reason
syntactic parsing was a good idea was that it produces structures that correspond
to the structures that should result from semantic processing . If we investigate ...
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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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