Taxonomy, Structure, and Implementation of Evidential Reasoning
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.
PDF Link: /papers/86/p17-ben-bassat.pdf
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"