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 a heuristic function that evaluates individual problem states and determines
how desirable they are . A heuristic function is a function that maps from problem
state descriptions to measures of desirability , usually represented as numbers .
This new heuristic function captures the two key aspects of this problem :
incorrect structures are bad and should be taken apart ; and correct structures are
good and should be built up . As a result , the same hill climbing procedure that
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 ...
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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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