Haenni, Rolf and Hartmann, Stephan (2005) Modeling Partially Reliable Information Sources: a General Approach based on Dempster-Shafer Theory. [Preprint]

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Abstract

Combining testimonial reports from independent and partially reliable information sources is an important 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, gives a number of new insights, and thereby contributes to a better understanding of this important application of reasoning with uncertain and incomplete information.

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Item Type:	Preprint
Creators:	Creators Email ORCID Haenni, Rolf Hartmann, Stephan s.hartmann@lmu.de 0000-0001-8676-2177
Additional Information:	The paper is forthcoming in Information Fusion.
Keywords:	Dempster-Shafer Theory, Probabilistic Argumentation, Combining Testimonial Reports, Unreliable Sources, Sensor Fusion, Judgement Aggregation, Probabilistic Algorithms
Subjects:	General Issues > Confirmation/Induction
Depositing User:	Stephan Hartmann
Date Deposited:	03 Jul 2005
Last Modified:	12 Jul 2024 17:57
Item ID:	2352
Subjects:	General Issues > Confirmation/Induction
Date:	July 2005
URI:	https://philsci-archive.pitt.edu/id/eprint/2352

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