Uncertainty in Artificial Intelligence
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Taxonomy, Structure, and Implementation of Evidential Reasoning
Moshe Ben-Bassat
Abstract:
The fundamental elements of evidential reasoning problems are described, followed by a discussion of the structure of various types of problems. Bayesian inference networks and state space formalism are used as the tool for problem representation. A human-oriented decision making cycle for solving evidential reasoning problems is described and illustrated for a military situation assessment problem. The implementation of this cycle may serve as the basis for an expert system shell for evidential reasoning; i.e. a situation assessment processor.
Keywords:
Pages: 17-28
PS Link:
PDF Link: /papers/86/p17-ben-bassat.pdf
BibTex:
@INPROCEEDINGS{Ben-Bassat86,
AUTHOR = "Moshe Ben-Bassat ",
TITLE = "Taxonomy, Structure, and Implementation of Evidential Reasoning",
BOOKTITLE = "Proceedings of the Second Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-86)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1986",
PAGES = "17--28"
}


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