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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As values are passed back up, different assumptions must be made at levels
where the program chooses the move and at the alternating levels where the
opponent chooses. There are several ways that this can be done. The most
Maximizing ply Minimizing ply But now we must take into account that the
opponent gets to choose which successor moves to ... Suppose we made move B
. Then the opponent must choose among moves E, F, and G. The opponent's
goal is to ...
For instance, it relies heavily on the assumption that the opponent will always
choose the optimal move. This assumption is acceptable in winning situations
where a move that is guaranteed to be good for us can be found. But, as
suggested in ...
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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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