WebWhen asked to define the essential features of the category "bird," Jim thinks of a robin or cardinal while describing the class "bird". Jim is using {eq}\_\_\_\_\_\_\_\_\_\_ {/eq} to … WebJan 1, 2015 · second stage required the individual definin g features of the category (e.g. BIRD) to be identified and checked off against the features of the possible ca tegory member .
Chapter 9
WebSee Page 1. 15) Which of the following isleast useful as a prototype of the category “bird”? a. robin b. penguin. Incorrect:When we think of the “best” example of a concept, or the one that is frequently thought of by many people, we are imagining the prototype of a concept. In the case of abird, we commonly think of an animal with ... Web10.2 Intensions in the Mind. This unit considers two possible ways that intensions might be organized in our minds. It’s possible that some intensions are organized around sets of binary features (similar to phonetic features!) that divide up the world into clear categories. But binary features don’t leave room for exceptions. kansas city temperature next week
Cognition: chapter 9 quiz Flashcards Quizlet
WebChaper 8 Section 2. A second theoretical view of the nature of concepts, known as the prototype view, was proposed in the 1970s. The prototype view denies the existence of necessary-and-sufficient feature lists (except for a limited number of concepts such as mathematical ones), instead regarding concepts as a different sort of abstraction ... Webtween the notion of a collection of different exemplars— that is, the category extension (e.g., birds)—and a lexical entry (e.g., birds) that points to the category intension. Features or associations that are provided in response to an exemplar or a category label, such as green , fruit , and sweet in response to apple, will be printed in an WebJun 5, 2012 · Model description. Conceptual overview. According to the generalized context model (GCM) (Nosofsky, 1986), people represent categories by storing individual exemplars (or examples) in memory, and classify objects based on their similarity to these stored exemplars. For example, the model assumes that people represent the category … lawn thermometer