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The human mind is complex machinery that is only
now being understood. Not only does it make
inferential conclusions and make judgments, it
does so either instinctively or on the fly with
near blinding speeds, as when facing emergency
situations. Not only that. The human mind can
adapt to its environment and more importantly,
learn.Understanding the human mind is the first
step to duplicating its workings on what is
increasingly becoming the fashionable tool for
the 21st century office and factory - thinking
machines.Engineers might be able to mimic some of
the functions of the human brain, like enabling a
computer do logical thought processes. They have
certainly gone beyond that, like processing
gazillion data to organize as a database that no
human can do. But that's just one, putting all
that to fit into a box near the size of the human
skull remains a daunting challenge.
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Computers are logic driven engines. Yes, to a
large extent they mimic the brain when making
mathematic and logical deductive ad inductive
reasoning. Much of the engineering effort to
duplicate cranial activity hinges on rule-based
logic using binary data to store and process
information according to a set of instructions
called application programs or software.Spielberg
may have gone overboard with his A.I. movie that
has human-like cyborgs for robots, but that is
basically the objective of robotics. We're still
decades from being there. For sure, there are now
super computers in many research and think tank
companies that employ some level of artificial
intelligence that have been known to make
decisions and recommendations based on terabytes
of data processed within minutes. These super
computers do form the brain of any robotic
contraction approaching human qualities
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Artificial intelligence programming is still
rule-based but it has an integral database engine
that can process large amounts of information
into multiple parallel computers. They are
definitely not your typical corporate mainframes,
but a step higher.Processing vast data, super
computers use special application called expert
systems that can mimic human intelligence
efficiently in specific disciplines. Legal and
medical expert systems processing terabytes of
data are known to provide recommendations and
diagnosis on the fly.Another way to artificial
intelligence is the use of neural networks.
Modeled after the human brain, they make use of
programs that can handle ambiguities left out
from rule-based systems. Human thought is not
always based on black or white stimulus, but also
allows options for what they call "grey areas."
Unlike rule-based programs, a neural network can
make decisions that are less predicable given a
set of what if conditions. Their responses can
lie in between using only the most probable
answers
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Hence, we have what is called "fuzzy logic"
computers which are sometime applied in home
appliances. And neural networks can learn through
exposure to various historical inputs and outputs
generated from those inputs. Over time, they can
be trained so that responses can be deduced from
a set of rules of Fx Trend Predictor Review
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