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Title: A Knowledge Entry System for Subject Matter Experts

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Subject: Science
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Date: February 17, 2002
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Length: 2 / 408
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Knowledge Systems Laboratory at Stanford, Pragati Systems, and Massachusetts Insititute of Technology joined the team after the contract award. The claim of this effort is that SMEs, unassisted by AI technologists, can assemble models of mechanisms and processes from components. These models are both declarative and executable, so questions about the mechanisms and processes can be answered by conventional inference methods (for example, theorem proving and taxonomic inference) and by various task-specific methods (for example, simulation, analogical reasoning, and problem-solving methods)...

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These models are both declarative and executable, so questions about the mechanisms and processes can be answered by conventional inference methods (for example, theorem proving and taxonomic inference) and by various task-specific methods (for example, simulation, analogical reasoning, and problem-solving methods)...

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