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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Expert systems solve problems (such as the ones in Figure 1.1) that are normally
solved by human "experts." To solve expert-level problems, expert systems need
access to a substantial domain knowledge base, which must be built as ...
Since the mid-1960s, when work began on the earliest of what are now called
expert systems, much progress has been made in the construction of such
programs. Experience gained in these efforts suggests the following conclusions:
• These ...
Validation — Measuring the performance of an expert system is difficult because
we do not know how to quantify the use of knowledge. Certainly it is impossible to
present formal proofs of correctness for expert systems. One thing we can do 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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