McGraw-Hill, 1991 - 621 páginas
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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MYCIN represents most of its diagnostic knowledge as a set of rules. Each rule
has associated with it a certainty factor, which is a measure of the extent to which
the evidence that is described by the antecedent of the rule supports the ...
MB[h, s] = MB'[h, s] . max(0, CF[s, e]) Since initial CF's in MYCIN are estimates
that are given by experts who write the rules, it is not really necessary to state a
more precise definition of what a CF means than the one we have already given.
If we apply the MYCIN combination formula to the three separate rules, we get
MB[h,si As2] =0.6 + (0.6 0.4) = 0.84 MB[h,(s\ A s2) A s3] = 0.84 + (0.6 0.16) =
0.936 This is a substantially different result than the true value, as expressed by
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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
What Is Artificial Intelligence?
Problems Problem Spaces and Search
Heuristic Search Techniques
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