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“Is it possible for intelligent machines to make decisions for the ultra large business organizations and make policies for them without the intervention of the human beings? Support or contradict the above statement with strong arguments and your answer shouldn’t be more than 150 words.”
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Machines may be smart, but they can never surpass human beings as whole. Mere fact that they were just realizations of ideas made by man proves that they are inferior to man. If one day machines will rule over business without human intervention, then it'll be breakthrough in science and technology. It is positive outcome. But if that company is invaded by several factors like viruses, outsiders and natural conditions, who would fix them up without man? Can they fix themselves? No. There'll be no such thing as machine fixing itself, or fixing another machine. A machine, or even computer, can perform full task IF it is programmed for output AND moved with input. No machine can work alone, if there is, the capability of it is only limited, since it cannot have value of human for critical thinking, perseverance, continuous learning. Machines made by humans; humans made by Allah.
tariq bhai kuch smaj main nahe araha
Engineering Self-Adaptive Systems
through Feedback Loops
The complexity of current software systems and uncertainty in their environments
has led the software engineering community to look for inspiration in
diverse related fields (e.g., robotics, artificial intelligence, control theory, and
biology) for new ways to design and manage systems and services [1,2,3,4]. In
B.H.C. Cheng et al. (Eds.): Self-Adaptive Systems, LNCS 5525, pp. 48–70, 2009.
Springer-Verlag Berlin Heidelberg 2009
Engineering Self-Adaptive Systems through Feedback Loops 49
this endeavor, the capability of the system to adjust its behavior in response
to the environment in the form of self-adaptation has become one of the most
promising research directions. The “self” prefix indicates that the systems decide
autonomously (i.e., without or with minimal interference) how to adapt or organize
to accommodate changes in their contexts and environments. While some
self-adaptive system may be able to function without any human intervention,
guidance in the form of higher-level objectives (e.g., through policies) is useful
and realized in many systems.
The landscapes of software engineering