The reversed association theory (Dunn & Kirsner, 1988) provides a powerful procedure for studying the link between cognitive processes and task performance. It helps find whether two behavioral tasks involve the same or different cognitive processes. However, this theory has not been fully utilized. Finding reversed association requires a large, single study consisting of at least six independe...

Chu Spaces and Channel Theory are well established areas of investigation in the general context of category theory. We review a range of examples and applications of these methods in logic and computer science, including Formal Concept Analysis, distributed systems and ontology development. We then employ these methods to describe human object perception, beginning with the construction of unc...

Scholars interested in emotion regulation have documented the different goals and strategies individuals have for regulating their emotions. However, little attention has been paid to the regulation of group-based emotions, which are based on individuals' self-categorization as a group member and occur in response to situations perceived as relevant for that group. We propose a model for examin...

Rhetorical questions (RQs), which are widely used and studied, are a special use of questions. A review of the literature shows that most of the previous studies are description of the pragmatic functions of RQs and are limited to the study of written data, while the cognitive factor has been relatively neglected. This study proposes a cognitive research of RQs under the Prototype Theory of Cat...

Listeners rely on multiple acoustic cues to recognize any phoneme. The relative contribution of these cues to listeners’ perception is typically inferred from listeners’ categorization of sounds in a two-alternative forced-choice task. Here we advocate the use of an evidence accumulation model to analyze categorization as well as response time data from such cue weighting paradigms in terms of ...

This paper presents a novel approach to the study of relational categorization based on the evolution of simulated agents in a relational task. In contrast to most previous models of relational categorization, which begin by assuming abstract representations and role-filler binding mechanisms, we begin by studying relational behavior in embodied dynamical agents, which results in a wider range ...

Humans monitor states of uncertainty that can guide decision-making. These uncertain states are evident behaviorally when humans decline to make a categorization response. Such behavioral uncertainty responses (URs) have also defined the search for metacognition in animals. While a plethora of neuroimaging studies have focused on uncertainty, the brain systems supporting a volitional strategy s...

Many contemporary theories of learning and memory adopt the empiricist premise that concepts are structured according to perceptual similarity. Developmental differences in categorization tasks are thereby interpreted as the result of qualitative shifts in the capacity to attend to specific perceptual dimensions. An alternative theory is that domain-specific knowledge underlies categorization, ...

A class of dual-system theories of categorization assumes a categorization system based on actively formed prototypes in addition to a separate instance memory system. It has been suggested that, because they have used poorly differentiated category structures (such as the influential "5-4" structure), studies supporting the alternative exemplar theory reveal little about the properties of the ...