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

Haenni, Rolf und Hartmann, Stephan (2006): Modeling Partially Reliable Information Sources: A General Approach Based On Dempster-Shafer Theory. In: Information Fusion, Bd. 7, Nr. 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.

• Dokumententyp: Zeitschriftenartikel
• Publikationsform: Postprint
• Keywords: Dempster–Shafer theory; Probabilistic argumentation; Combining testimonial reports; Unreliable sources; Sensor fusion; Judgment aggregation; Probabilistic algorithms
• Fakultät: Philosophie, Wissenschaftstheorie und Religionswissenschaft > Munich Center for Mathematical Philosophy (MCMP) ; Philosophie, Wissenschaftstheorie und Religionswissenschaft > Munich Center for Mathematical Philosophy (MCMP) > Epistemology
• Themengebiete: 100 Philosophie und Psychologie > 120 Epistemologie
• ISSN: 1566-2535
• Sprache: Englisch