Taxonomy, Structure, and Implementation of Evidential Reasoning
Artificial Intelligence
2013-04-12 v1
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.
Cite
@article{arxiv.1304.3077,
title = {Taxonomy, Structure, and Implementation of Evidential Reasoning},
author = {Moshe Ben-Bassat},
journal= {arXiv preprint arXiv:1304.3077},
year = {2013}
}
Comments
Appears in Proceedings of the Second Conference on Uncertainty in Artificial Intelligence (UAI1986)