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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STAiTlC(Posilion, Player) — The static evaluation function, which returns a
number representing the goodness of Position from the standpoint of Player.2 As
with any recursive program, a critical issue in the design of the MINIMAX
procedure is ...
MINIMAX (CURRENT, 0, PLAYER-ONE) if PLAYER-ONE is to move, or MINIMAX
(CURRENT, 0, PLAYER-TWO) if PLAYER-TWO is to move. Algorithm: MINIM AX(
Position, Depth, Player) 1 . If DEEP-ENOUGHCPoi/V/oM, Depth), then return ...
The DEEP THOUGHT chess computer [Anantharaman et al., 1990] has used
singular extensions to great advantage, finding midgame mating combinations as
long as thirty-seven moves, an impossible feat for fixed-depth minimax, ...
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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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