Probabilistic logic under uncertainty
Josang, Audun (2007) Probabilistic logic under uncertainty. In Gudmundsson, J. & Jay, B. (Eds.) Thirteenth Computing : The Australasian Theory Symposium (CATS2007), 30 January - 2 February 2007, Ballarat, Australia.
Probabilistic logic combines the capability of binary logic to express the structure of argument models with the capacity of probabilities to express degrees of truth of those arguments. The limitation of traditional probabilistic logic is that it is unable to express uncertainty about the probability values themselves. This paper provides a brief overview subjective logic which is a probabilistic logic that explicitly takes uncertainty about probability values into account. More specifically, we describe equivalent representations of uncertain probabilities, and their interpretations. Subjective logic is directly compatible with binary logic, probability calculus and classical probabilistic logic. The advantage of using subjective logic is that real world situations can be more realistically modelled, and that conclusions more correctly reflect the ignorance and uncertainties about the input arguments.
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTATION THEORY AND MATHEMATICS (080200) > Computation Theory and Mathematics not elsewhere classified (080299)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
Past > Institutes > Information Security Institute
|Copyright Owner:||Copyright 2007 Australian Computer Society|
|Copyright Statement:||Copyright c 2007, Australian Computer Society, Inc. This paper appeared at the Thirteenth Computing: The Australasian Theory Symposium (CATS2007), Ballarat, Victoria, Australia, January 2007. Conferences in Research and Practice in Information Technology (CRPIT), Vol. 65. Joachim Gudmundsson and Barry Jay, Eds. Reproduction for academic, not-for profit purposes permitted provided this text is included.|
|Deposited On:||04 Aug 2008|
|Last Modified:||09 Jun 2010 23:02|
Repository Staff Only: item control page