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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Start: Goal: B ON(C, A) ON(B, C) and ON(A, B) Figure 2.10: A Simple Blocks
World Problem Put A on B Figure 2. 1 1 : A Proposed Solution for the Blocks
Problem 1. CLEAR(.v) [block x has nothing on it] the table] ON(.v. Table) [pick up
x and ...
Figure 4.4: Simple Relational Knowledge The reason that this representation is
simple is that standing alone it provides very weak inferential capabilities. But
knowledge represented in this form may serve as the input to more powerful ...
A lot of work in game-playing programs has gone into the development of good
static evaluation functions.1 A very simple static evaluation function for chess
based on piece advantage was proposed by Turing — simply add the values of ...
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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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