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MEASURING UNDERSTANDING

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Now that we have defined cybernetic Epistemology (layered-understanding), we can ... A concise idea originates here, having a finite expanse (interpretation, scope) ... – PowerPoint PPT presentation

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Title: MEASURING UNDERSTANDING


1
MEASURING UNDERSTANDING
2
Now that we have defined cybernetic Epistemology
(layered-understanding), we can quantify it,
study it, and turn it from a philosophy into an
empirical science (a must when working with
machines).
Size or Memory Reqmnt
Context index rule model goal mission Understand
ing Data Information Knowledge Wisdom Vision
3
Information
(m)(x)(b) y
rule
Data
Data
Data
Informatum
(1)(5)(2) 7
rule
Datum
Datum
Datum
4
  • observation index Data ?
  • observation index rule Information ?
  • observation index rule model Knowledge ?
  • But what is the difference between a rule and a
    model?
  • Constraints?
  • Boundary Conditions?
  • rule boundary conditions model ?
  • Thus, placing boundary conditions on the rule
    means that you know how to use the rule. Ill
    buy that.
  • Thus, my stacked model could be misleading for
    instance, one could go directly from the
    observation to knowledge, by bypassing
    information and data.

5
mission ?? ?? ?? ?? ??
goal ?? ?? ?? 11 ??
model ?? ?? 1? ?? ??
rule ?? 1? ?? 1? ??
address 11 11 11 11 11
D I K W V
6
V ?? ?? ?? ?? ??
W ?? ?? ?? ?? ??
K ?? ?? ?? ?? ??
I ?? ?? ?? ?? ??
D ?? ?? ?? ?? ??
D I K W V
7
mission ?? ?? ?? ?? ??
goal ?? ?? ?? ?? ??
model ?? ?? ?? ?? ??
rule ?? ?? ?? ?? ??
address ?? ?? ?? ?? ??
address rule model goal mission
8
Carpenter Communication Paradigm (unicode must
understand words, meanings, values)
Person has a new idea. This person extrapolates
their goal list, and the idea appears to solve
their mission (feasibility). Person then expands
their model (generalization), and the idea
appears to be a feasible solution. The rules
are specifically described structurally that
appear to make the model work. Then the index
is expanded (vocabulary, unicode) and the data is
obtained from the environment. How are each of
these layers described by the person, by the
system? As the concepts work their way down into
atomic understanding, and then back up again in
a different language? The uncertainty in
understanding must grow! This implies that none
of us will be standing on the same layers of
understanding, as each of us will understand each
layer slightly differently than anyone else.
Fascinating. Note In the figure below, the
grapheme, syntax, and language might also affect
the index, rules, model
Same overall system, but in a different language,
and thus leads to possibly different
understanding certainly the fuzziness has grown.
A concise idea originates here, having a finite
expanse (interpretation, scope)
VISION
MindLang 2
MindLang 1
VISION
Mission
Mission
WISDOM
Lang 2
WISDOM
Lang 1
Goal
Goal
Lang 1
Lang 2
KNOWLEDGE
KNOWLEDGE
Model
Model
INFORMATION
INFORMATION
Syntax 2
Syntax 1
Rules
Rules
DATA
DATA
Grapheme 1
Grapheme 2
Index
Index
Environment
ENVIRONMENT (Complexity Mystery)
ENVIRONMENT (Complexity Mystery)
This is a paper! Scott A. Carpenter,
26-Oct-02-Sat-1154
9
How precise is even the smallest bounded concept?
Meaning in the Senders mind.
Meaning in, say 20 of, the local audiences mind.
Meaning in, say 40 of, the local audiences
mind, and say, 10 in the remote audiences mind,
and after translation, say 5 of those speaking a
different language.
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