A Logic for Uncertain Probabilities
By Audun Jøsang. Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001
1,158 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/2aebee4a67c3ec8d1c83ad707737b0cc4e63132f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Paul E. S. Dunne
- Mani B. Srivastava
- Ross Hayward
- Simon Pope
- Saurabh Ganeriwal
- Jin-Hee Cho
- Kevin Sean Chan
- Sibel Adali
In Management Science and Operations Research
- Mani B. Srivastava
- Saurabh Ganeriwal
- Jin-Hee Cho
- Sibel Adali
- Kevin Sean Chan
- Ross Hayward
- Manos Papagelis
- Dimitris Plexousakis
Citations in the corpus
- Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences (2005, methodology): “Uncertainty Property The confidence model described earlier can be employed to define uncertainty [23].”
- Trust network analysis with subjective logic (2006, methodology): “• Discounting [7] is used to compute transitive trust.”
- A Survey on Trust Modeling (2015, methodology): “Certainty is a determinant to discern whether trust is needed in a given context [Jøsang 2001; Wang and Singh 2010; Sun et al. 2006].”
- Argumentation in artificial intelligence (2007, background): “Observing that individual agents seeking to come to a shared understanding about aspects of their environment require methods by which conflicting evidence concerning this may be assessed and resolved, [137] discuss those factors which must be considered and present a solution approach whose logical”
- The Beta Reputation System (2002, background): “We will use a forgetting scheme first described by Jøsang [4].”
- Reputation-based framework for high integrity sensor networks (2004, methodology): “The approach is to map the problem into an equivalent problem in the realm of Dempster-Shafer belief theory [27] and then solve it using the concept of belief discounting [28].”
- Degrees of Belief (2009, background): “6 In [51], Jøsang calls i degree of uncertainty rather than degree of ignorance, but the latter seems to be more appropriate and in better accordance with the literature (see Subsection 2.”