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PROGRAMMATICS:
SUPPORTING CONCEPTS:
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RESEARCH AREAS
Cognitive Rationale:
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Layered-Understanding
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notes.ppt)
ABSTRACT: Describes a model of how humans come to understand things.
SIGNIFICANCE: Provides a human cognitive model to guide the design of a
decision support system.
TOPICS: Literature review.
Creates a theory of "Context-Understanding" that operates on five levels:
index-data, rule-information, model-knowledge, goal-wisdom, and
mission-vision. Compares and contrasts characteristics of human
understanding: context-vs-emptiness, order-vs-chaos, understanding-vs-mystery,
complexity-vs-simplicity. Discusses "relativity of context" and
how that affects thinking and communication between people.
Compares related terminology for business,
science and engineering, and lay person. Discusses the mental energy,
time committments, and practicalities required for
context-down vs context-up education.
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Evolution of Cognitive Cybernetics
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notes.ppt)
ABSTRACT: Describes how machine systems are evolving to enhance
natural human cognitive processes, to may make tractable future memory
management, maintenance, and integrated expansion of the world's
understanding (data, information, knowledge, wisdom, and vision).
SIGNIFICANCE: Provides a machine model that makes all "context" available
to every person with access to the system (Internet), which enables "context-down
learning".
TOPICS: Reviews the literature and discusses the development of
existing machine systems (data bases, information bases, knowledge bases,
and wisdom bases). Considers the strengths and weaknesses of human cognition,
and those that can be extended by machine systems (cognitive cybernetics).
Develops the important concept of integrated
layers of understanding embedded in machine systems. Concludes by
considering the value of context-down education.
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Cybernetic Epistemology
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notes.ppt)
ABSTRACT: Describes how humans can "understand" in the first place,
calling genetic "context" (aka instinct and genetic memory). These genetic
contexts can be extended by cybernetic technology (cognitive cybernetics).
SIGNIFICANCE: Academic only, for consistency, and to solve the
debate between Foundationalism and Hermeneutics.
TOPICS: Literature review. Discusses the structure of evolved genetic
"context", the structure of cognitive-cybernetic vision support systems, and
the properties (such as duration of incremental change) for (1) genetic learning,
(2) experiential learning, (3) apprentice learning, and (4) context-down learning.
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Context-Down Learning
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notes.ppt)
ABSTRACT: Develops the model of "Context-Down Learning".
SIGNIFICANCE: Human cognitive energies are utilized at a high level of
understanding. Human learning is facilitated by learning "down hill". Time, energy
and cost are spared. High-level machine systems (knowledge and wisdom management
systems) are important to the bottom line for elite enterprises, and these systems
influence the culture and performance of the workforce.
TOPICS: Literature review. Compares and contrasts the differences between
context-down and context-up learning with respect to cost, time, and cognitive and
enterprise energy. Provides several examples of context-down and context-up learning.
Develops the concepts of scalar, trend, and domain thinking and communitcating.
Emphasizes that machine systems carry context, and that human understanding quicly
follows. "Where there is context, understanding is soon to follow."
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Wisdom Discovery
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notes.ppt)
ABSTRACT: Develops a human-cognitive procedure for discovering wisdom.
SIGNIFICANCE: Identifies wisdom that leads to deeper understanding,
optimized solutions to goals, and discovery of underlying meaning that guides
further learning.
TOPICS: Literature review. Within the cognitive-cybernetic
layered-understanding framework, describes the procedure for identifying,
gathering cognitive resources, modeling, valuing (trend thinking), and
consolidating new understanding (domain thinking) into wisdom
(decision principles). Provides a real-life example of a space-based
transportation system optimization.
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Measuring the Memory of Context and Understanding
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notes.ppt)
ABSTRACT: Research into the unknown. Musings at the earliest stage;
wondering what the related memory requirement is along two dimensions
(understanding and context).
SIGNIFICANCE: Concerns memory management of context and understanding.
As data has very little context (merely position in an index), data is
nearly a purely memory, 1:1. However, as information has a deeper
context (for example, and equation of variables that can hold many data values),
the context-understanding ratio is, perhaps, 1:infinity. A more important
question the relationship between each of the context levels (index, rule,
model, goal, mission) and understanding levels (data, information, knowledge
wisdom, and vision). What is the memory ratio of data:information? or index:rule?
These are important topics to consider when designing a vision support system
(more colloquially known as a information base, or knowledge base, etc.).
TOPICS: .
Consolidation:
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The Ideal Vision Support System (VSS)
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notes.ppt)
ABSTRACT: Describes three dimensions of a hypothetical "ideal VSS":
(1) Learning, (2) Sharing, and (3) Memory.
SIGNIFICANCE: Sets high targets as guides to research and development
of vision support systems (aka decision support systems).
TOPICS: Literature review (especially Stanoevska-Slabeva, et al. 1998).
Describes the importance of common platform so that "We all know all that
is known", which is important to prevent reinventing the wheel and for
allocating scarce resources to uncovered areas. Discusses real-time learning
on the job (aka just-in-time learning), and a futuristic system in which we
don't know and don't care to know where our understanding comes from (perhaps
from our own minds, or from a super efficient cybernetic interface that delivers
it to our consciousness).
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Elite Enterprises and Wisdom Management (WM)
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notes.ppt)
ABSTRACT: Describes the importance of upper management to establish
a culture of wisdom management through adoption of machine systems,
and elaborates on the important properties of these machine systems.
SIGNIFICANCE: Discusses culture, technology, and metrics that could help
enterprises transform into elite enterprises, whose employees and customers
recognize new opportunities first, and act first, leading to insurmountable
competitive advantage.
TOPICS: Literature review. Comparison to existing machine systems.
Determining atomicity. The value of
(1) KM systems versus document repositories,
(2) tacit knowledge capture and distribution,
(3) metrics and valuation,
(4) context-down learning and training,
(5) the culture of domain thinking and communicating,
(6) communication between people, and
(7) uncertainty in communication.
Application:
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VSS for Engineering.htm
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notes.ppt)
(
AmNucSoc-02.ppt)
ABSTRACT: Describes the characteristics, implementation, and component
demonstrations of a VSS suited to group collaboration in engineering design
of massive systems of interdisciplinary knowledge, but based on first principles,
analytical equations, extrapolation predictions, or empirical fitting.
SIGNIFICANCE: Simple, usable, accessible, transparent, dynamic, the model
converges toward reality, standardized, cheap to implement and support.
TOPICS: Those listed above.
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Space Mission Studies Laboratory
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notes.ppt)
ABSTRACT: Not yet developed. This would be part of my
dissertation work, and would provide a management space for
a group collaboration tool based on my research into vision support
systems (VSS).
SIGNIFICANCE: Public participation, risk management,
knowledge sharing, learning, and memory, cost effectiveness, and
a sustainable roadmap to planning and developing a space fusion
transportation system.
TOPICS: Those listed above.
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NASA NRA based on VSS Programmatics
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notes.ppt)
ABSTRACT: Describes to NASA a method of programmatics based on VSSs.
With a space fusion transportation system as a long-range goal, the program
outlines the steps necessary for a NASA Research Announcement (NRA). The VSS
implementation would require all participants to use the standardized VSS as
a vehicle for providing knowledge learning, sharing, and memory; to yield
transparent, fair, and open-to-the-public research activities. The cost remains
small while including the maximum number of expert participants, and including
interested public. The result of the program should be concensus, and a knowledge
and wisdom base critical for making follow-on decisions of high resource
expenditure. Thus, the NRA based on VSSs is a risk-management.
SIGNIFICANCE: Public participation, risk management, knowledge sharing,
learning, and memory, cost effectiveness, and a sustainable roadmap to
planning and developing a space fusion transportation system.
TOPICS: Those listed above.
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Fusion-Electric Energy Studies Laboratory
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notes.ppt)
ABSTRACT: Not yet developed. Possibly
post-dissertation work, and would provide a management space for
applying my work in VSSs to the modeling of fusion-electric
power plants.
SIGNIFICANCE: Public participation, risk management,
knowledge sharing, learning, and memory, cost effectiveness, and
a sustainable roadmap to planning and developing a fusion-electric
power plant system.
TOPICS: Roadmap to a fusion-electric based energy economy,
fusion-isotope-generator (FIG), and net fusion power demonstrator (NFPD).
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Radiation Detectives Laboratory
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notes.ppt)
ABSTRACT: Not yet developed. Possibly
post-dissertation work, and would provide a management space for
applying my work in VSSs to characterization of radiation signatures.
SIGNIFICANCE: Public participation, risk management,
knowledge sharing, learning, and memory, cost effectiveness,
reliability, and total signal characterization.
TOPICS: .
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Evolution Modeling Laboratory
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notes.ppt)
ABSTRACT: Not yet developed. Possibly
post-dissertation work, and would provide a management space for
applying my work in VSSs to characterization of models of evolution
and evolutionary algorithms.
SIGNIFICANCE: Public participation, risk management,
knowledge sharing, learning, and memory, and cost effectiveness.
TOPICS: General Theory of Evolution, Group Opportunity,
Civilizations, Drake Equation, and Workforce Performance in
evolving institutions.
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