Languages and designs for probability judgment

Theories of subjective probability are viewed as formal languages for analyzing evidence and expressing degrees of belief. This article focuses on two probability langauges, the Bayesian language and the language of belief functions (Shafer, 1976). We describe and compare the semantics (i.e., the meaning of the scale) and the syntax (i.e., the formal calculus) of these languages. We also investigate some of the designs for probability judgment afforded by the two languages.     

Mental capacity,mental effort,and cognitive style

This study tests the relationship between two theoretical models of human attentional capacity: Pascual-Leone's mental capacity and Kahneman's mental effort. It was found that significant and positive correlations exist between the empirical measures of the above constructs, and the relationship is demonstrated via construct validation by showing that the two constructs relate in the same manner to the subject's cognitive style (i.e., field-dependence/independence).