Representation Requirements for Supporting Decision Model Formulation
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.
Cite
Text
Leong. "Representation Requirements for Supporting Decision Model Formulation." Conference on Uncertainty in Artificial Intelligence, 1991.Markdown
[Leong. "Representation Requirements for Supporting Decision Model Formulation." Conference on Uncertainty in Artificial Intelligence, 1991.](https://mlanthology.org/uai/1991/leong1991uai-representation/)BibTeX
@inproceedings{leong1991uai-representation,
title = {{Representation Requirements for Supporting Decision Model Formulation}},
author = {Leong, Tze-Yun},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1991},
url = {https://mlanthology.org/uai/1991/leong1991uai-representation/}
}