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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Figure 7.6: Labeled Nodes with Premise Justification structure are met. The first
criterion is consistency: every node labeled IN is supported by at least one valid
justification and all other nodes are labeled OUT. More specifically than before, ...
Figure 7.8: Babbitt's Justification then that node must be labeled OUT if the
labeling is to be well-founded. The TMS task of ensuring a consistent, well-
founded labeling has now been outlined. The other major task of a TMS is
So any labelings for either of the two vertices that require the line to be labeled in
a way that is inconsistent with the other vertex ... New constraints will arise from
this labeling and these constraints can be propagated back to vertices that have ...
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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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