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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So we exploit the heuristic that if HOLDING is one of several goals to be achieved
at once, it should be tackled last. This produces the new goal stack CLEAR(A)
HOLDING(C) CLEAR(A) A HOLDING(C) STACK(C, A) ON(B, D) ON(C, A) A ON(B
This time, when we compare the top element of the goal stack, ON(B, A), to the
world model, we see that it is satisfied. So we pop it off and consider the next goal
, CLEAR(B). It, too, is already true in the world model, although it was not stated ...
B start: ON(C, A) A ONTABLE(A) A ONTABLE(B) A ARMEMPTY goal: ON(A, B) A
ON(B. C) Figure 13.5: A Slightly Harder Blocks Problem ON(C, A) CLEAR(C)
ARMEMPTY ON(C, A) A CLEAR(C) A ARMEMPTY UNSTACK(C, A) ARMEMPTY
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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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