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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As values are passed back up , different assumptions must be made at levels
where the program chooses the move and at the alternating levels ... Now we can
apply the static evaluation function to those positions and simply choose the ...
It employs a purely syntactic criterion , choosing interesting lines of play without
recourse to any additional domain knowledge . ... For instance , it relies heavily
on the assumption that the opponent will always choose the optimal move .
How should our program choose now between alternative 1 and alternative 2 ?
We can tell that picking up C ( alternative 1 ) is better than unstacking it because
it is not currently on anything . So to unstack it , we would first have to stack it .
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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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