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.
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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.
| Keywords: | Dempster-Shafer Theory, Probabilistic Argumentation, Combining Testimonial Reports, Unreliable Sources, Sensor Fusion, Judgement Aggregation, Probabilistic Algorithms |
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| Subjects: | General Issues: Confirmation/Induction |
| ID Code: | 2352 |
| Deposited By: | Hartmann, Stephan |
| Deposited On: | 03 July 2005 |
| Additional Information: | The paper is forthcoming in Information Fusion. |