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 …

Despite tremendous variation in the appearance of visual objects, primates can recognize a
multitude of objects, each in a fraction of a second, with no apparent effort. However, the …

The dominant paradigm for inference in psychology is a null-hypothesis significance testing
one. Recently, the foundations of this paradigm have been shaken by several notable …

This paper presents a theoretical model of situation awareness based on its role in dynamic
human decision making in a variety of domains. Situation awareness is presented as a …

Detection Theory: A User's Guide is an introduction to one of the most important tools for the
analysis of data where choices must be made and performance is not perfect. In these …

Within cognitive science, two approaches currently dominate the problem of modeling
representations. The symbolic approach views cognition as computation involving symbolic …

Objective: This article describes the origins and contributions of the naturalistic decision
making (NDM) research approach. Background: NDM research emerged in the 1980s to …

Signal detection theory is one of psychology's most well-known and influential theoretical
frameworks. However, the conceptual hurdles that had to be overcome before the theory …

A neuropsychological theory is proposed that assumes category learning is a competition
between separate verbal and implicit (ie, procedural-learning-based) categorization …

Over recent years, the psychology of concepts has been rejuvenated by new work on
prototypes, inventive ideas on causal cognition, the development of neo-empiricist theories …