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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Figure 2.7: A Depth-First Search Tree Algorithm: Depth-First Search 1 . If the
initial state is a goal state, quit and return success. 2. Otherwise, do the following
until success or failure is signaled: (a) Generate a successor, £, of the initial state.
Until now, we have really only discussed two systematic control strategies,
breadth-first search and depth-first search (of several varieties). In this section,
we discuss a new method, best-first search, which is a way of combining the
If we take a depth-first approach to nonmonotonic reasoning, then the following
scenario is likely to occur often: We need to know a fact, F, which cannot be
derived monotonically from what we already know, but which can be derived by ...
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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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