Probabilistic Logic in a Coherent Setting
By G. Coletti, R. Scozzafava. 2002
380 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/7c3a2ec94fb4a3b223d2045991a563ff8cb4cac2
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
- Jean Baratgin
- David E. Over
- Guy Politzer
- Gernot D. Kleiter
- Joseph B. Kadane
- PD Dr. Dr. Niki Pfeifer
- Jonathan Evans
- Mike Oaksford
In Mathematical Physics
Citations in the corpus
- Principles of Uncertainty (2011, methodology): “PROBABILITY GENERATING FUNCTIONS 111 by Coletti and Scozzafava (2002). These authors take finite additivity as basic, and regard countable additivity as an (unwarranted) restriction on the opinions you are permitted to express. Perhaps the most eloquent expression of this view is given by DeFinetti ”
- Statistical Matching for Categorical Data: Displaying Uncertainty and Using Logical Constraints (2006, background): “The contamination with other frameworks is worth studying not only concerning uncertainty (as with the imprecise probabilities; see Walley 1991), but also for the use of logical constraints (e.g., Coletti and Scozzafava 2002 and Vantaggi 2003).”
- The conditional in mental probability logic (2010, methodology): “The probability value is assigned directly to the conditional event, B|A, as a whole [13].”
- Betting on conditionals (2010, background): “It leads immediately to an account of coherence and incoherence for conditional beliefs and assertions (Coletti & Scozzafava, 2002; Gilio, 2002).”