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Volume & Issue no: Volume 5, Issue 11, November 2016

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Title:
RISK ANALYSIS IN THE FIELD OF INTELLIGENCE USING ARTIFICIAL INTELLEGENCE
Author Name:
Prof. Amar Nath Singh, Er. Sohail Amjad, Er. Waquar Ahmad Khan, Er. Sneh Priya, Er. Pooja
Abstract:
ABSTRACT Intelligence is a term which mainly refers as thinking ability. In traditional day’s the systems are not so much capable enough to judge the decision making statements, so they are not able to evaluate complex instructions. But due to invention of Artificial intelligence the problem statements has reduced to great extents. Jacques Monod wrote: “A curious aspect of the theory of evolution is that everybody thinks he understands it” (Monod 1975). The field of AI has a reputation for making huge promises and then failing to deliver on them. In practical sense, the AI is very elaborative in terms of its structure. Most observers conclude that AI is hard; as indeed it is. But the embarrassment does not stem from the difficulty. The critical inference is not that AI is hard, but that, for some reason, it is very easy for people to think they know far more about Artificial Intelligence than they actually do. Keywords: Artificial Intelligence, Cognitive Biases, Machine Intelligence, Human Intelligence.
Cite this article:
Prof. Amar Nath Singh, Er. Sohail Amjad, Er. Waquar Ahmad Khan, Er. Sneh Priya, Er. Pooja , " RISK ANALYSIS IN THE FIELD OF INTELLIGENCE USING ARTIFICIAL INTELLEGENCE" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 5, Issue 11, November 2016 , pp. 026-029 , ISSN 2319 - 4847.
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