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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Its function is similar to that of the heuristic function h ' in the A * algorithm : in the
absence of complete information , choose the most promising position . Of course
, the static evaluation function could simply be applied directly to the positions ...
Now we can apply the static evaluation function to those positions and simply
choose the best one . After doing so , we can back that value up to the starting
position to represent our evaluation of it . The starting position is exactly as good
Assume that the initial values chosen for the coefficients are good enough that
the total evaluation function produces values that are fairly reasonable measures
of the correct score even if they are not as accurate as we hope to get them .
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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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