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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.

Abstract

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:

10 citations in Scopus
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ID Code: 14271
Item Type: Conference Paper
Additional URLs:
ISBN: 1920682465
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

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