We develop a belief-based account of decision under uncertainty. This model predicts decisions under uncertainty from … (i) judgments of probability, which are assumed to satisfy support theory; and (ii) decisions under risk, which are … assumed to satisfy prospect theory. In two experiments, subjects evaluated uncertain prospects and assessed the probability of …

The adoption of investment solutions uncertainty factors provide project risk, i.e. the risk of loss of resources …, incomplete acquisition of the required income and occurrence unexpected expenses. The presence of different types uncertainty … that allow to formalize different types of uncertainty. Among the various methods of modeling under uncertainty it is …

This paper examines the decline in use of the Knight-Keynes uncertainty concept in mainstream economics. Using … uncertainty concept is additionally related to the increasing mathematical formalization of economics and to the prevalence of a …

The theorem of existence of the ruptures in the probability scale was proved in 2010. The theorem is used to analyze …, including application of the theorem. Its most significant result: when uncertainty increases, then taking the theorem into …

concentrates on Keynes’s Treatise on Probability and discusses how Keynes applied his philosophy of probability to decision … agents behave under uncertainty, and that the violations of the Bayesian creed scrutinized in behavioural finance, and in … frequency probability …

A theorem of existence of ruptures in the probability scale has been proven. The theorem can be used, e.g., in …