DocumentCode :
567494
Title :
Subjective logic with uncertain partial observations
Author :
Kaplan, Lance M. ; Chakraborty, Supriyo ; Bisdikian, Chatschik
Author_Institution :
US Army Res. Lab., Adelphi, MD, USA
fYear :
2012
fDate :
9-12 July 2012
Firstpage :
565
Lastpage :
572
Abstract :
Subjective logic (SL) is an effective tool to manage and update beliefs over a set of mutually exclusive assertions. The method to update subjective beliefs from direct observations of assertions is well understood. Recent work has incorporated the SL framework to derive the belief update equations for partial observations where the measurements are only statistically related to the assertions. This work further expands the notion of SL to consider uncertainty in the underlying statistical relationship between measurements and assertions. In other words, new methods are derived for SL that incorporate uncertainty in the reported likelihood of the assertions. Simulations demonstrate the utility of the new likelihood uncertainty aware belief update methods.
Keywords :
belief maintenance; probabilistic logic; statistical analysis; uncertainty handling; SL framework; belief management; direct observations; likelihood uncertainty-aware belief update methods; mutually exclusive assertions; statistical relationships; subjective belief update equations; subjective logic; uncertain partial observations; Approximation methods; Government; Humans; Mathematical model; Observers; Uncertainty; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2012 15th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-0417-7
Electronic_ISBN :
978-0-9824438-4-2
Type :
conf
Filename :
6289852
Link To Document :
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