Modeling Partially Reliable Information Sources: A General Approach Based On Dempster-Shafer Theory

Haenni, Rolf; Hartmann, Stephan (2006): Modeling Partially Reliable Information Sources: A General Approach Based On Dempster-Shafer Theory. In: Information Fusion, Vol. 7, No. 4: 361 - 379

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.

• Item Type: Journal article
• Form of publication: Postprint
• Keywords: Dempster–Shafer theory; Probabilistic argumentation; Combining testimonial reports; Unreliable sources; Sensor fusion; Judgment aggregation; Probabilistic algorithms
• Faculties: Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP); Philosophy, Philosophy of Science and Religious Science > Munich Center for Mathematical Philosophy (MCMP) > Epistemology
• Subjects: 100 Philosophy and Psychology > 120 Epistemology
• ISSN: 1566-2535
• Language: English