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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While it is possible to apply unification repeatedly over the cross product of
preconditions and state description elements , it is more efficient to consider the
many - many match problem , in which many rules are matched against ...
The rules that apply in this space look something like the rule shown in Figure 6.8
. Operator preference rules ... SOAR also has rules for expressing a preference
for applying a whole sequence of rules in a given situation . In learning mode ...
In one , we first apply the first assertion , which allows us to conclude -Pacifist (
Dick ) . Having done that , the second assertion cannot apply , since it is not
consistent to assume Pacifist ( Dick ) . The other thing we could do , however , is
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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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