The Exemplar-Based Random Walk (EBRW) model (Nosofsky & Palmeri, 1997; Palmeri, 1997) incorporates elements of Nosofsky’s (1986) generalized context model (GCM) of categorization and Logan’s (1988) instance theory of automaticity. The model assumes that categories are represented in terms of stored exemplars. Exemplars are represented as points in a multidimensional psychological space with sim...

Categorization of rhythmic patterns is prevalent in musical practice, an example of this being the transcription of (possibly not strictly metrical) music into musical notation. In this article we implement a dynamical systems' model of rhythm categorization based on the resonance theory of rhythm perception developed by Large (2010). This model is used to simulate the categorical choices of pa...

Exemplar, prototype, and rule theory have organized much of the enormous literature on categorization. From this theoretical foundation have arisen the two primary debates in the literature-the prototype-exemplar debate and the single system-multiple systems debate. We review these theories and debates. Then, we examine the contribution that animal-cognition studies have made to them. Animals h...

A close observation of Iran-Iraq war films in the Iranian society reveals that their genres have shifted in the course of the society’s evolution. This questions the category-based principles of genre we have known so far in literature concerning film theory and necessitates a new conceptualization of genre, which can be realized with the aid of Niklas Luhmann’s social systems theory. This theo...

Contemporary research on racial categorization is mostly encompassed by two research traditions—social constructionism and the cognitive-cum-evolutionary approach. Although both literatures have some plausible empirical evidence and some theoretical insights to contribute to a full understanding of racial categorization, there has been little contact between their proponents. In order to foster...

In this paper firstly I have compared Single Label Text Categorization with Multi Label Text Categorization in detail then I have compared Document Pivoted Categorization with Category Pivoted Categorization in detail. For this purpose I have given the general definition of Text Categorization with its mathematical notation for the purpose of its frugality and cost effectiveness. Then with the ...

A major difficulty of text categorization is the high dimensionality of the original feature space. Feature selection plays an important role in text categorization. Automatic feature selection methods such as document frequency thresholding (DF), information gain (IG), mutual information (MI), and so on are commonly applied in text categorization. Many existing experiments show IG is one of th...

The Threshold Theory of categorization posits that prior to making a categorization decision a respondent assesses the similarity between item and category and compares it against a personal threshold. Only if the item-category similarity exceeds this threshold should the respondent endorse the item as a category member. The Threshold Theory thus assumes that a single latent variable, item-cate...