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EPISTEMOLOGY, QUALIA, AND CDM
An explanation of why people in many professions list the "things" in their work (events, objects,
persons, etc.) on dynamic data tables they then model, like moist clay, to more fully engage their
personal knowledge, goals, values, analytic skills, and imagination.
Epistemology, Qualia, and CDM are not
terms used in everyday conversation. But
understanding how they validate an
innovative thinking methodology will help you
understand, and make full use of, our family
of PC software. Learning a new methodology
requires some study. Read this paper several
times until you "get it".
We like to know as much as we can about
the details of our work. Epistemology is about
that knowing. It is a philosophical matter and,
because philosophy is subjective, one can
take liberties (as we are here).
So epistemology is, in non-academic language,
what knowing is and how we know -
and how we know that "what" and that "how".
We know with our minds. Consciously,
sometimes subconsciously, our minds
spontaneously search, select, gather, and link
data. Unique meaningful aggregations of data
are, according to some, a series of distinct
entities that philosophers call "qualia". They
are like snapshots, but are not physical
objects - they are only concepts or states.
For example, imagine you are walking across
a street, feeling entitled to proceed because
the illuminated "WALK" light gave you
permission. But you see a fast-moving truck
approaching, and your knowledge and
experience lead to a decision to run. You
momentarily feel fear, replaced quickly by
anger. All of that - facts, habits, and emotions
- come together in a momentary quale, or
state of thought and feelings. It is followed
quickly by another — a series of qualia. Like
separate frames in a movie. There,
persistence of vision allows our mind to blend
each frame with the preceding image, and we
interpret the result as unbroken motion.
Walking further on the sidewalk, looking in
store windows yields a series of very different
qualia. There is no interpretation of the vastly
different contents as unbroken motion, yet
associations can occur. See an object in one
window and you may recall, spontaneously,
seeing in a previous store a similar but
cheaper object. All of this is knowing, a
dynamic process in which you are conscious
of a series of qualia.
Those qualia, which are clearly subjective,
exist in our working memory. We deal with
the content of our working memory in a
continuous process, reflecting on the
changing content and reasoning about what
to do next — which may then change the
qualia in the working memory. That
conceptual entity, in our working memory,
has a corollary in the material world.
Neuroscientists map the firing of neurons in
our brains to locate where things take place.
Some researchers postulate a
conceptual/physical model consisting of short
memory and long term memory, each with
functional subsets. Short term includes
immediate memory, where data wait
temporarily for acceptance by the working
memory, the other part of memory short term.
If not taken in, they disappear, like impatient
diners who leave the entrance of a busy
restaurant after a very brief wait. The content
of the immediate memory includes what is
new from the outside — sensory input, i.e.
what we see, hear, taste, smell, and feel.
Qualia in the working memory consist of
much more than sensory input accepted from
the immediate memory. Grabbed spontaneously
are inputs from the four parts of our
long term memory. One, a collection from our
experiences, is episodic memory. By
definition, it is personal, subjective. Next is
semantic memory, facts (probably objective)
like knowing that Tashkent is the capital of
Uzbekistan.
Then there is procedural memory — how
that person does things, perhaps subconsciously,
like walking, or habitually taking
the same route driving from A to B. Finally,
there is emotion, another subjective and
intensely personal set of attributes.
Whenever your working memory forms
and processes qualia, and you are conscious
of the outcomes, you are thinking. And
linguistics is a part of that. Things have
names, qualities and emotions (color, taste,
sorrow, joy) that are described by words. So
qualia comprise, primarily at least, language,
i.e. words, text.
So go back to the succession of store
windows. Compose a data table that lists the
objects in each and their characteristics
(including store name). Do that for every
store in town. Now consider the many ways
the data can be selected and sorted (i.e.
different column arrangements, or
permutations). You may know exactly what
you want, such as a short jacket priced under
, in stores that also have shoes. Or
vacuum cleaners of certain brands and
models in stores of particular names. It would
be good to be able to do that selecting and
sorting quickly, so that when our reasoning
about a data table produces a wish for a
different selection, or sorting, or both, the
data table could be changed at once.
But life is full of surprises. Consider a
hypothesis that intentionally looking at all
possible permutations of a data table may
disclose relationships you had not thought
about, and could benefit from knowing. They
may be unexpected problems you can
mediate. Or they may be beneficial
opportunities. Dealing with a data table that
way seems logical, and logic is a part of
reasoning, so how do you do it with a table?
The answer is patented software inventions
that allow an individual to
model/manipulate a data table using only 3
screens - one to design the table, one to see
the result, and one to edit data on the table.
Cycling between them, as spontaneous
thinking suggests, the user models the data,
taking it into his or her working memory,
where it blends with a multiplicity of other
data to form a series of qualia. As the qualia
are analyzed, intuition and imagination,
perhaps even emotion, jump in, and
reasoning drives interactive modeling of the
data table until all possible information that is
useful — to the mind of that unique individual -
has been extracted from the data.
Because that modeling, the human-computer
interaction, occurs uniquely and
describably in the context of what is in the
user's mind, we named it contextual data
modeling, or CDM. We may easily understand
what data modeling is, but without
some understanding of the complex and
wildly unpredictable context in which that
occurs, you won't appreciate the modeling.
Connecting the brain and the computer in this
innovative fashion constitutes a powerful new
way to analyze text data - about anything, in
any profession.
We don't all “see” the same things when
we look at a data table. And even if we did,
our minds differ. Our interpretations of what
we see may then, legitimately, vary greatly.
The solutions are not produced by software -
they are formed by the reasoning in our
individual minds. That is why we argue that
our CDM programs are the first software
designed to more fully incorporate an
individual's knowledge, experience, and skills
in the analysis of data concerning her or his
field of expertise.
CDM does this two ways, which will have
greater meaning to you after reading this
paper. One, CDM lets a person build private
datasets, rather than being limited to using
those created by others. Two, focusing on
qualia as the key entities in a user's thinking,
the primary objective of CDM is minimizing
the time required to revise the data table
display that is incorporated in the current
quale. For the speed of thought about data
tables to most effectively employ the speed of
computers, thought must be able to quickly
re-direct the computer. Only our patented
technology enables that.
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