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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Wait and See — Follow only one path, but rather than making decisions about
the function of each component as it is encountered, procrastinate the decision
until enough information is available to make the decision correctly. Using this ...
Sports Economy Luxury (-) (+) (-) Figure 17.13: A Decision Tree training set, and
the new concept then becomes one disjunct in the eventual disjunctive concept
description. When all positive training instances have been removed, we are left
So how does ID3 actually construct decision trees? Building a node means
choosing some attribute to test. At a given point in the tree, some attributes will
yield more information than others. For example, testing the attribute color is
useless if ...
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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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