The term "Artificial Intelligence" has been used since 1956 and has
become a very popular research field. Generally, it is the study of
the computations that enable a system to perceive, reason and act.
In the early days, it was expected to achieve the same intelligent
behavior as a human, but found impossible at last. Its goal was
thus revised to design and use of intelligent methods to make
systems more ef- cient at solving problems. The term "Applied
Intelligence" was thus created to represent its practicality. It
emphasizes applications of applied intelligent systems to solve
real-life problems in all areas including engineering, science,
industry, automation, robotics, business, finance, medicine,
bio-medicine, bio-informatics, cyberspace, and man-machine
interactions. To endow the intelligent behavior of a system, many
useful and interesting techniques have been developed. Some of them
are even borrowed from the na- ral observation and biological
phenomenon. Neural networks and evolutionary computation are two
examples of them. Besides, some other heuristic approaches like
data mining, adaptive control, intelligent manufacturing,
autonomous agents, bio-informatics, reasoning, computer vision,
decision support systems, expert s- tems, fuzzy logic, robots,
intelligent interfaces, internet technology, planning and
scheduling, are also commonly used in applied intelligence.
General
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