Modeling partially reliable information sources: A general approach based on Dempster-Shafer theory

Information Fusion 7:361-379 (2006)

Authors
Stephan Hartmann
Ludwig Maximilians Universität, München
Abstract
Combining testimonial reports from independent and partially reliable information sources is an important epistemological problem of uncertain reasoning. Within the framework of Dempster–Shafer theory, we propose a general model of partially reliable sources, which includes several previously known results as special cases. The paper reproduces these results on the basis of a comprehensive model taxonomy. This gives a number of new insights and thereby contributes to a better understanding of this important application of reasoning with uncertain and incomplete information.
Keywords Dempster–Shafer theory  Probabilistic argumentation  Combining testimonial reports  Unreliable sources  Sensor fusion  Judgment aggregation  Probabilistic algorithms
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References found in this work BETA

Upper and Lower Probabilities Induced by a Multi- Valued Mapping.Arthur Dempster - 1967 - Annals of Mathematical Statistics 38:325-339.

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Citations of this work BETA

Bayesian Epistemology.Stephan Hartmann & Jan Sprenger - 2010 - In Duncan Pritchard & Sven Bernecker (eds.), The Routledge Companion to Epistemology. London: Routledge. pp. 609-620.

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