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相关概念视频

The Representativeness Heuristic02:13

The Representativeness Heuristic

15.8K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
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Schemas01:42

Schemas

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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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Self-Discrepancy Theory02:45

Self-Discrepancy Theory

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One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.  
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Cognitive Dissonance01:38

Cognitive Dissonance

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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
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相关实验视频

Updated: Jun 28, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

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通过代表性转移协调类别的例外情况.

Yongzhen Xie1, Michael L Mack2

  • 1Department of Psychology, University of Toronto, 100 St. George Street, Toronto, ON, M5S 3G3, Canada. yongzhen.xie@mail.utoronto.ca.

Psychonomic bulletin & review
|April 19, 2024
PubMed
概括

类别中的学习例外涉及代表性转移. 异常学习整合了异常,并将它们与常规项目区分开来,为更好的概括创造了层次化的类别结构.

科学领域:

  • 认知心理学 认知心理学
  • 神经科学是一个神经科学.
  • 计算建模 计算建模

背景情况:

  • 现实世界的类别往往包括偏离既定规律的例外.
  • 现有的理论表明,异常学习涉及对象表示的灵活调制,但具体的转移不清楚.

研究的目的:

  • 调查在类别中获得异常时的代表动态.
  • 了解大脑是如何学习的,并表示违反感知规律的例外情况.

主要方法:

  • 使用人类参与者的行为实验 (n=42).
  • 采用计算建模来推断异常学习之前和之后的潜在刺激表征.
  • 评估行为相似性判断,与代表性相似性进行比较.

主要成果:

  • 异常学习导致了可混的异常与常规项目的区分.
  • 一个类别内的例外根据共同的特征进行了整合,形成了不同的集群.
  • 层次的类别结构出现了,不同的例外集群促进了知识的概括和协调.

结论:

  • 异常学习重组了内部表示,为常规和异常项目创建了不同的集群.
  • 这些表示性转变导致分层类别结构,使感知上不一致的成员相协调.
关键词:
分类学习类别的学习.计算建模计算建模代表性的相似性分析.

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  • 这些发现有助于我们更好地理解知识形成和将知识概括成复杂的类别.