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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... i . e . , there was less embedding of components . • The quantifiers were
separated from the rest of the formula so that they did not need to be considered .
Conjunctive normal form ( Davis and Putnam , 1960 ) has both of these
It has two essential limitations : • It operates on individual predicates without
considering the interactions among predicates that are defined in the knowledge
base . We saw an example of this above when we considered the statement A (
Joe ) ...
Although dealing with 2 " values may appear intractable , it usually turns out that
many of the subsets will never need to be considered because they have no
significance in the problem domain ( and so their associated value of m will be 0 )
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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
Heuristic Search Techniques
Knowledge Representation Issues
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