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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Read this expression as the probability of hypothesis H given that we have
observed evidence E. To compute this, we need to take into account the prior
probability of H (the probability that we would assign to H if we had no evidence)
and the ...
Otherwise, the measure of belief in h given two observations is the measure of
belief given only one observation plus some increment for the second
observation. This increment is computed by first taking the difference between 1 (
Output units that seldom win in the competitive learning process can be given
larger biases. In effect, they are given control over a larger portion of the input
space. In this way, units that consistently lose are eventually given a chance to
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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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