Many real-world decision making situation are associated with uncertainty regarding future state of the World. Traditionally, in such situation different (and discrete) scenarios – future states of nature – are considered. This domain of decision making is denoted as decision making under...

This paper discusses solutions derived from lottery experiments using two alternative assumptions: that people perceive wealth changes as absolute amounts of money; and that people consider wealth changes as a proportion of some reference value dependant on the context of the problem under...

Abstract Popular models for decision making under ambiguity assume that people use not one but multiple priors. This paper is a first attempt to experimentally elicit multiple priors. In an ambiguous scenario with two underlying states we measure a subject’s single prior, her other potential...

There has been much reported on decisions from experience, also referred to as decisions in a complete ignorance fashion. This note lays out a Bayesian decision-theoretical framework that provides a computable account for decisions from experience. To make the framework more tractable, this note...

The weighted updating model is a generalization of Bayesian updating that allows for biased beliefs by weighting the functions that constitute Bayes' rule with real exponents. I provide an axiomatic basis for this framework and show that weighting a distribution affects the information entropy...