Subjective logic
From TrustLet, a free, collaborative project for collecting and analyzing information about trust metrics.
Subjective logic is a type of probabilistic logic where probability values can be expressed with degrees of uncertainty and where subjective belief ownership is explicit. In general, subjective logic is suitable for modeling and analysing situations involving uncertainty and subjective world views [1] [2]. It is particularly suitable for modeling and analyzing trust networks[3] and Bayesian belief networks[4]. Operators of subjective logic are generalisations of classical binary logic and pobability calculus operators. Input arguments and utput results are multidimensional belief measures called subjective opinions, which are generalisations of scalar probability values.
[edit] References
- ↑ A. Jøsang. Artificial Reasoning with Subjective Logic Proceedings of the Second Australian Workshop on Commonsense Reasoning. Perth 1997. pdf
- ↑ A. Jøsang. A Logic for Uncertain Probabilities. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(3), pp. 279-311, June 2001 pdf
- ↑ A. Jøsang. Trust Natwork Analysis with Subjective Logic. Proceedings of the Australasian Computer Science Conference (ACSC'06), Hobart, January 2006. pdf
- ↑ A. Jøsang. Conditional Reasoning with Subjective Logic. Journal of Multiple-Valued Logic and Soft Computing, 15(1), pp.5-38, 2008 pdf
[edit] External links
- Online demonstrations of subjective logic.
