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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Suspect Abbott J supported belief justification Beneficiary Abbott Alibi Abbott. I. I. I
. IN-list OUT-list Figure 7.5: A Justification an alibi, then we should erase from the
database the belief that Abbott is a suspect. But suppose that we later fire a rule ...
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, ...
Registered A bbott [ IN ] Far Away [IN] ° | Register Forged [OUT] Figure 7.7:
Changed Labeling Register Forged lacks any justification and is labeled OUT.
That Abbott was on the register of a far away hotel and the lack of belief that the
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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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