Uncertainty is an intrinsic part of life; most events, affairs, and questions are uncertain. A key
problem in behavioral sciences is how the mind copes with uncertain information. Quantum …

Researchers have benefited from characterizing evidence-based decision making as a
process involving sequential sampling. More recently, sequential sampling models have …

The study of decision making spans such varied fields as neuroscience, psychology,
economics, statistics, political science, and computer science. Despite this diversity of …

How do we make simple purchasing decisions (eg, whether or not to buy a product at a
given price)? Previous work has shown that the attentional drift-diffusion model (aDDM) can …

We present a theory of decision by sampling (DbS) in which, in contrast with traditional
models, there are no underlying psychoeconomic scales. Instead, we assume that an …

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 …

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 …

The roles of loss aversion and inhibition among alternatives are examined in models of the
similarity, compromise, and attraction effects that arise in choices among 3 alternatives …

This paper presents a theory of multi-alternative, multi-attribute preferential choice. It is
assumed that the associations between an attribute and an available alternative impact the …

Most theoretical and empirical research on intertemporal choice assumes a deterministic
and static perspective, leading to the widely adopted delay discounting models. As a form of …