Representation Requirements for Supporting Decision Model Formulation

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📝 Original Info

  • Title: Representation Requirements for Supporting Decision Model Formulation
  • ArXiv ID: 1303.5730
  • Date: 2013-03-26
  • Authors: Researchers from original ArXiv paper

📝 Abstract

This paper outlines a methodology for analyzing the representational support for knowledge-based decision-modeling in a broad domain. A relevant set of inference patterns and knowledge types are identified. By comparing the analysis results to existing representations, some insights are gained into a design approach for integrating categorical and uncertain knowledge in a context sensitive manner.

💡 Deep Analysis

Deep Dive into Representation Requirements for Supporting Decision Model Formulation.

This paper outlines a methodology for analyzing the representational support for knowledge-based decision-modeling in a broad domain. A relevant set of inference patterns and knowledge types are identified. By comparing the analysis results to existing representations, some insights are gained into a design approach for integrating categorical and uncertain knowledge in a context sensitive manner.

📄 Full Content

This paper outlines a methodology for analyzing the representational support for knowledge-based decision-modeling in a broad domain. A relevant set of inference patterns and knowledge types are identified. By comparing the analysis results to existing representations, some insights are gained into a design approach for integrating categorical and uncertain knowledge in a context sensitive manner.

Reference

This content is AI-processed based on ArXiv data.

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