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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We are forced to conclude that the question of whether a machine has
intelligence or can think is too nebulous to answer ... First, some survey books:
The broadest are the multi-volume Handbook of Artificial Intelligence [Barr et al.,
1981] and ...
1988. Qlisp. In Parallel Computation and Computers for Artificial Intelligence, ed.
J. Kowalik. Boston: Kluwer. Gale, W. A., ed. 1986. Artificial Intelligence and
Statistics. Reading, MA: Addison-Wesley. Gardner, H. 1985. The Mind's New
Artificial Intelligence 39(1). Marr, D. 1982. Vision: A computational investigation
into the human representation and processing of visual information. San
Francisco: W. H. Freeman. Martelli, A. 1977. On the complexity of admissible
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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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