Basic level categories The other notion related to prototypes is that of a
basic level in cognitive categorization. Basic categories are relatively homogeneous in terms of sensory-motor
affordances — a chair is associated with bending of one's knees, a fruit with picking it up and putting it in your mouth, etc. At the subordinate level (e.g. [dentist's chairs], [kitchen chairs] etc.) few significant features can be added to that of the basic level; whereas at the superordinate level, these conceptual similarities are hard to pinpoint. A picture of a chair is easy to draw (or visualize), but drawing furniture would be more difficult. Psychologists Eleanor Rosch, Carolyn Mervis and colleagues defined the basic level as that level that has the highest degree of cue validity and category validity. Thus, a category like [animal] may have a prototypical member, but no cognitive visual representation. On the other hand, basic categories in [animal], i.e. [dog], [bird], [fish], are full of informational content and can easily be categorized in terms of
Gestalt and semantic features. Basic level categories tend to have the same parts and recognizable images. Clearly semantic models based on attribute-value pairs fail to identify privileged levels in the hierarchy. Functionally, it is thought that basic level categories are a decomposition of the world into maximally
informative categories. Thus, they • maximize the number of attributes shared by members of the category, and • minimize the number of attributes shared with other categories However, the notion of Basic-ness as a Level can be problematic. Linguistically, types of bird (swallow, robin, gull) are basic level - they have mono-morphemic nouns, which fall under the superordinate BIRD, and have subordinates expressed by noun phrases (herring gull, male robin). Yet in psychological terms, bird behaves as a basic level term. At the same time, atypical birds such as ostrich and penguin are themselves basic level terms, having very distinct outlines and not sharing obvious parts with other birds. More problems arise when the notion of a prototype is applied to lexical categories other than the noun. Verbs, for example, seem to defy a clear prototype: [to run] is hard to split up in more or less central members. In her 1975 paper, Rosch asked 200 American college students to rate, on a scale of 1 to 7, whether they regarded certain items as good examples of the category
furniture. These items ranged from chair and sofa, ranked number 1, to a love seat (number 10), to a lamp (number 31), all the way to a telephone, ranked number 60. While one may differ from this list in terms of cultural specifics, the point is that such a graded categorization is likely to be present in all cultures. Further evidence that some members of a category are more privileged than others came from experiments involving: : 1.
Response Times: in which queries involving prototypical members (e.g.
is a robin a bird) elicited faster response times than for non-prototypical members. : 2.
Priming: When primed with the higher-level (superordinate) category, subjects were faster in identifying if two words are the same. Thus, after flashing
furniture, the equivalence of
chair-chair is detected more rapidly than
stove-stove. : 3.
Exemplars: When asked to name a few exemplars, the more prototypical items came up more frequently. Subsequent to Rosch's work, prototype effects have been investigated widely in areas such as colour cognition, and also for more abstract notions: subjects may be asked, e.g. "to what degree is this narrative an instance of telling a lie?". Similar work has been done on actions (verbs like look, kill, speak, walk [Pulman:83]), adjectives like "tall", etc. Another aspect in which Prototype Theory departs from traditional
Aristotelian categorization is that there do not appear to be
natural kind categories (bird, dog) vs. artifacts (toys, vehicles). A common comparison is the use of prototype or the use of exemplars in category classification. Medin, Altom, and Murphy found that using a mixture of prototype and exemplar information, participants were more accurately able to judge categories. Participants who were presented with prototype values classified based on similarity to stored prototypes and stored exemplars, whereas participants who only had experience with exemplar only relied on the similarity to stored exemplars. Smith and Minda looked at the use of prototypes and exemplars in dot-pattern category learning. They found that participants used more prototypes than they used exemplars, with the prototypes being the center of the category, and exemplars surrounding it. ==Distance between concepts==