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Modeling Partially Reliable Information Sources: a General Approach based on Dempster-Shafer Theory

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
    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: 07 Oct 2010 11:13
    Item ID: 2352
    URI: http://philsci-archive.pitt.edu/id/eprint/2352

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