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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But now let's return briefly to the problem of representing a changing problem
state. We could do it by simply starting with a description of the initial state and
then making changes to that description as indicated by the rules we apply.
Detecting a Solution A planning system has succeeded in finding a solution to a
problem when it has found a sequence of operators that transforms the initial
problem state into the goal state. How will it know when this has been done?
While the initial state has an empty arm, each of the two pickup operators contain
->ARMEMPTY postconditions. Either operator could prevent the other from
executing. We can use promotion to achieve at least one of the two preconditions
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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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