The systemic formalization and automated translation of knowledge involving uncertainty with applications for knowledge engineering.
Item
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Title
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The systemic formalization and automated translation of knowledge involving uncertainty with applications for knowledge engineering.
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Identifier
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AAI9732891
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identifier
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9732891
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Creator
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Bashias, Norman Jack.
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Contributor
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Adviser: Miriam R. Tausner
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Date
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1997
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Language
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English
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Publisher
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City University of New York.
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Subject
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Computer Science | Education, Secondary | Education, Elementary | Information Science | Engineering, Electronics and Electrical | Engineering, System Science
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Abstract
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In this thesis, we present a general, systems science-based formalism, called the Systemic U-Knowledge Framework, for the modeling of human expertise involving uncertainty. We have utilized and extended mathematical constructs for modeling uncertainty. A systemic formalism for modeling knowledge, called the Systemic Knowledge Hierarchy, had previously been developed; however, this formalism did not have the constructs for modeling knowledge involving uncertainty. We have extended the formalism by using the mathematical constructs for modeling uncertainty; this entailed incorporating constructs for modeling uncertainty into the knowledge structures and into the problem-solving constructs. We have validated the modeling capabilities of the Systemic U-Knowledge Framework by modeling the expertise of an expert in the field of K-12 education, and have used the model as a basis for automated problem-solving.;In this thesis, we also present a translation scheme for the automated translation of knowledge formalized in the Systemic U-Knowledge Framework to a knowledge-based system. To lay the groundwork for the translation process, we present the initial version of a formalization language based on the Systemic U-Knowledge Framework. A preliminary version of a graphical front-end to this language has also been developed. In order to represent and validate the complex knowledge formalized using the Systemic U-Knowledge Framework, we have developed a knowledge-based reasoning engine. The resulting knowledge-based system automates the problem-solving of the human expert on a computer. The long-range objective is the automated translation of the formalization language into the knowledge-based reasoning engine. The research done in this thesis contributes to this objective by providing the foundations for this automated translation.
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Type
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dissertation
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Source
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PQT Legacy CUNY.xlsx
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degree
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Ph.D.
