DocumentCode :
2922382
Title :
Toward Human-Level Machine Intelligence
Author :
Zadeh, Lotfi A.
Author_Institution :
University of California Berkeley, USA; Director of BISC (Berkeley Initiative in Soft Computing)
fYear :
2006
fDate :
Nov. 2006
Abstract :
Can machines think? This question has been an object of discussion and debate for over half-a-century. My interest in the question goes back to the beginning of my academic career. Officially, AI was born in l956. At its birth there was widespread expectation that within a few years it will be possible to build machines that could think like humans. I did not share that belief. To the pioneers, symbolic logic was all that was needed. Anything that involved numerical computations was unwelcome. It took close to thirty years for probability theory to gain grudging acceptance. Clearly, adding probability theory to the armamentarium of AI is a step in the right direction. But is it sufficient? In my view, the answer is: No.
Keywords :
Artificial intelligence; Computer science; Decision making; Engineering profession; Humans; Machine intelligence; Probabilistic logic; Sense organs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2006. ICTAI '06. 18th IEEE International Conference on
Conference_Location :
Arlington, VA, USA
ISSN :
1082-3409
Print_ISBN :
0-7695-2728-0
Type :
conf
DOI :
10.1109/ICTAI.2006.114
Filename :
4031871
Link To Document :
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