An Exemplar Model For Perceptual Categorization Of Events

Publisher Summary This chapter proposes a representation scheme that covers both static objects and events. It also specifies the mechanisms that support classification of represented events. The main concern of this chapter is the categorization of events. Although objects can be represented in many different ways, it seems sensible to start from a very general scheme that proves its value in numerous studies of perceptual classification of static objects. To represent events, a framework can be adapted in two different ways. The first possibility maintains the assumption that objects correspond to single points in a multidimensional space. The second approach abandons the assumption that objects must correspond to single points in the psychological space. Perceptual categorization is the process of assigning a category label to a perceived object. It is an essential component of numerous cognitive tasks, including object naming and recognition, perceptual learning, inductive and deductive reasoning about objects, and so forth. It is important to make a clear distinction between categorization of dynamic objects and categorization of events. Events are episodes in the existence of objects, with well-defined temporal boundaries. Events can also involve static objects, and the same dynamic object can occur in different events.

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