Classical (Bayesian) probability (CP) theory has led to an influential research tradition for
modeling cognitive processes. Cognitive scientists have been trained to work with CP …

A full range of psychological processes has been put into play to explain judgment and
choice phenomena. Complementing work on attention, information integration, and learning …

" More information is always better, and full information is best. More computation is always
better, and optimization is best." More-is-better ideals such as these have long shaped our …

In the years since it first published, Neuroeconomics: Decision Making and the Brain has
become the standard reference and textbook in the burgeoning field of neuroeconomics …

Decision-making under risk has been variably characterized and examined in many different
disciplines. However, interdisciplinary integration has not been forthcoming. Classic theories …

Meaning is a fundamental component of nearly all aspects of human cognition, but formal
models of semantic memory have classically lagged behind many other areas of cognition …

Many everyday decisions have to be made under risk and can be interpreted as choices
between gambles with different outcomes that are realized with specific probabilities. The …

Individual differences in cognitive abilities and skills can predict normatively superior and
logically consistent judgments and decisions. The current experiment investigates the …

In the last years, research on risky choice has moved beyond analyzing choices only.
Models have been suggested that aim to describe the underlying cognitive processes and …

We propose a model of eye-tracking data to understand information acquisition patterns on
attribute-by-product matrices, which are common in online choice environments such as …