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Intuition
has been one of the most mysterious forces of
nature. Science has little or no understanding of
how it works. There are no theories about
intuition. But people know it exists. That
mysterious understanding, which strikes
suddenly.... The following pages guide you
through a set of reasonable steps to the
startling insight that intuition could be a
logical process. That leads to a glimpse of the
immense power of your mind....
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Intuition
could just be an algorithm. Algorithms are seen
everywhere. They are just repeatable routines,
which yield trusted results. The following pages
are about an algorithm, which creates exciting
results in Artificial Intelligence. Those results
offer you new insights into the secrets of the
mind. This algorithm powers a new Expert System.
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An
Expert System is a computer program, which can
diagnose a disease from a list of diseases, by
asking questions about the symptoms of the
patient. These symptoms often overlap, indicating
several diseases. For example, pain, or fever,
may be indicated for many illnesses. So, an
Expert System seeks to find a single pattern, a
disease, among many overlapping patterns.
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But,
an Expert System faces some awkward problems.
There are many possible questions. It has to
decide which question to ask first. When there
are hundreds of questions in the system, they use
heuristics, a statistical analysis of the more
likely diseases, to decide priorities. But, then,
if the patient has an unusual disease, the Expert
System will end up asking far too many questions.
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The
second problem, in computer terms, is
"Uncertainty", a suspicion. Some
symptoms may, or may not be present for a
disease. This is useless information for an
Expert System. A disease can be selected only if
the answer is "Yes". While people can
use a suspicion to guide them to certainty,
computers cannot handle a suspicion. They can
only deal with certainty.
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"Stupidity"
is another problem. The patient answers that he
has no pain. But, if a later question implies a
painful disease, then, a doctor will call it a
"Stupid Question". When many
overlapping symptoms are present, Expert Systems,
sadly, ask "Stupid Questions."
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The
biggest problem of all is that each symptom
applies to several diseases. After you locate a
disease with the first symptom, you discover that
it lacks the second presented symptom. This leads
to thousands of back and forth searches, as the
knowledge base expands in size. Uncontrollable
growth of the search path has been a hopeless
difficulty.
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This
explosive growth of the search path made any,
practical, large scale pattern recognition
completely impossible. The instant recognition of
a familiar face by the mind is really unique. How
the mind instantly recognizes patterns has always
been a mystery.
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Some
scientists suspected that intuition could hold
the key to understanding the mind. But, how?
Professor Carver Mead of CalTech believed it
would take mankind all the way to 2050 to
discover the secret of intuition.
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So,
how did the mind work? There were a 100 billion
neurons in the nervous system. Each cell
processed inputs in just a few ten thousandths of
a second. How did they interact with each other?
Gray's Anatomy, the authoritative book in
medicine, suggested that nerve inputs are added
up to create a nerve output.
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There
is much speculation about neural interactions.
Scientists speculate that they involve some form
of computation, or network logic. According to
them, maths or logic is the key to the mind. But,
that approach, somehow, does not feel right.
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Can
maths explain the elegance of the mind? Can a
maths processor feel pain, or smile? Can it add
pain to love, or subtract music from sadness?
Maths fails to reveal the beauty of the mind.
With instant pattern recognition impossible and
maths too mechanical, the mind remains a mystery.
But is swift pattern recognition really
impossible?
Next....
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