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⢠Family resemblance is another area where the prototype view shines. Family members look similar but they donât all have one characteristic that is exactly the same. Some family members share some characteristics of some other family members, but those characteristics arenât shared among all family members. ⢠Overlapping features between members of a category predict typicality. ⢠Example: fruits. â Apple: red, sweet, crunchy, round. â Orange: juicy, sweet, round, soft. â Coconut: hard, brown, white inside, tropical. ⢠Example: furniture. â Chair: sit on, legs, armrests, upholstery. â Sofa: cushions, sit on, upholstery, armrests. â Rug: stand on, woven, soft, flat. ⢠The prototypicality of a category member predicts the performance on a number of tasks. ⢠For instance, if you were asked to identify if a given concept is included in a category (âis X a fruit?â), you would perform worse on less typical members. Youâd respond slower to âis tomato a fruit?â than âis apple a fruit?â. ⢠Concepts will still have features in common with other categories as well, just less features in common than the main category itâs considered to be part of. 8.4.1 Problems with the Prototype View ⢠Categories are variable. The concept of a âgameâ may differ depending on you â it may mean paintball, online poker, or basketball, for instance. ⢠Typicality is not fixed. Typicality varies as a function of the context itâs in. A robin may seem typical in the context of a park and less typical in the context of a farm or backyard. 8.5 The Exemplar View ⢠Concepts are composed of previous instances (examples). ⢠Categorization occurs by comparing the current instance with previous instances that are stored in memory. ⢠There are no fuzzy prototypes being stored in memory under this view. ⢠This view has gained much traction lately. Itâs widely supported in literature. ⢠This view shows that in many cases weâre interested in superficial similarity, and not actually digging for similar meaning. 35