PhilSci Archive

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]

[img]
Preview
PDF
DempsterShafer.pdf

Download (572kB)

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.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Haenni, Rolf
Hartmann, Stephan
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 15:13
Item ID: 2352
URI: http://philsci-archive.pitt.edu/id/eprint/2352

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item