are information seeking otherwise. Because belief updating depends on the decision problem in which new information is …

We present the first calibration of quantum decision theory (QDT) to an empirical data set. The data comprise 91 …. The prediction of choice reversal is then refined by introducing heterogeneity between decision makers through a … differentiation of the population into two similar sized groups in terms of "over-confident" and "contrarian" decision makers. This …

We propose a new parametrization of Quantum Decision Theory (QDT), based on Rank Dependent Utility Theory (RDU). Using … experimental data made of choices between pairs of lotteries, we compare QDT with "classical" decision theories, RDU and Cumulative … decision makers as either RDU, RDU-based QDT, CPT or CPT-based QDT. Our major findings are the following: the quantum …

to pass the two most prominent litmus tests for descriptive decision theories under risk: the Allais paradox and the St …

decision models. Central to each step is a bijective mapping that, applied to the set of prospects, changes the framing of the … decision problem. Static models of subjective expected utility and reference dependence result from stretch mappings and … translations (i.e., shifts), respectively. Dynamic models, such as regret and aspiration learning, involve groups of models each of …