Given the popular presupposition of human reasoning as the standard for learning and
decision making, there have been significant efforts and a growing trend in research to …

People deciding between alternatives have at their disposal a toolbox containing both
compensatory strategies, which take into account all available attributes of those …

Prader-Willi syndrome arises as a consequence of absent paternal copies of maternally
imprinted genes at 15q11-13. Such gender-of-origin imprinted genes are expressed in the …

Recommendation algorithms trained on a training set containing sub-optimal decisions may
increase the likelihood of making more bad decisions in the future. We call this harmful effect …

To ensure safe and efficient operation, operators in process industries have to make timely
decisions based on time-varying information. A holistic assessment of operators' …

Abstract Information stored in memory influences the formation of preferences and beliefs in
most everyday decision tasks. The richness of this information, and the complexity inherent …

Defining how tasks should be performed is an essential prerequisite for designing the next-
generation aircraft cockpits with multimodal intelligent human–computer interaction (HCI) …

We propose a novel approach, which we call machine learning strategy identification
(MLSI), to uncovering hidden decision strategies. In this approach, we first train machine …

Organisms must be capable of adapting to environmental task demands. Which cognitive
processes best model the ways in which adaptation is achieved? People can behave …

The ability to reason and problem‐solve in novel situations, as measured by the Raven's
Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task …