Uncertainty in Artificial Intelligence
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Knowledge Structures and Evidential Reasoning in Decision Analysis
Gerald Liu
Abstract:
The roles played by decision factors in making complex subject are decisions are characterized by how these factors affect the overall decision. Evidence that partially matches a factor is evaluated, and then effective computational rules are applied to these roles to form an appropriate aggregation of the evidence. The use of this technique supports the expression of deeper levels of causality, and may also preserve the cognitive structure of the decision maker better than the usual weighting methods, certainty-factor or other probabilistic models can.
Keywords: Knowledge Structures, Evidential Reasoning, Decision Analysis
Pages: 273-282
PS Link:
PDF Link: /papers/85/p273-liu.pdf
BibTex:
@INPROCEEDINGS{Liu85,
AUTHOR = "Gerald Liu ",
TITLE = "Knowledge Structures and Evidential Reasoning in Decision Analysis",
BOOKTITLE = "Proceedings of the First Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-85)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1985",
PAGES = "273--282"
}


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