Evidence accumulation models (EAMs) have been the dominant models of speeded
decision-making for several decades. These models propose that evidence accumulates for …

Cognitive models aim to explain complex human behavior in terms of hypothesized
mechanisms of the mind. These mechanisms can be formalized in terms of mathematical …

Evidence accumulations models (EAMs) have become the dominant modeling framework
within rapid decision-making, using choice response time distributions to make inferences …

Understanding the cognitive processes involved in multi-alternative, multi-attribute choice is
of interest to a wide range of fields including psychology, neuroscience, and economics …

One of the more principled methods of performing model selection is via Bayes factors.
However, calculating Bayes factors requires marginal likelihoods, which are integrals over …

The “law of practice”—a simple nonlinear function describing the relationship between mean
response time (RT) and practice—has provided a practically and theoretically useful way of …

Theories of perceptual decision making have been dominated by the idea that evidence
accumulates in favor of different alternatives until some fixed threshold amount is reached …

Using Bayesian methods to apply computational models of cognitive processes, or Bayesian
cognitive modeling, is an important new trend in psychological research. The rise of …

Some of the most influential theories in organizational sciences explicitly describe a
dynamic, multilevel process. Yet the inherent complexity of such theories makes them …

Decision-making involves a tradeoff between pressures for caution and urgency. Previous
research has investigated how well humans optimize this tradeoff, and mostly concluded …