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相关概念视频

The Representativeness Heuristic02:13

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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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Real Number Operations01:27

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The concept of real numbers includes all the values that can be represented on a continuous number line. The system began with basic counting values used for enumeration. It later expanded to include values that represent the absence of quantity and opposites of the counting values. When situations required expressing parts of a whole or dividing quantities evenly, values capable of representing such proportions were developed. When written using decimal notation, these values can end or repeat...
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Piaget's Stage 2 of Cognitive Development01:14

Piaget's Stage 2 of Cognitive Development

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The preoperational stage, the second of Jean Piaget's four stages of cognitive development, spans approximately ages 2 to 7 and is characterized by the emergence of symbolic thinking. During this stage, children use language, images, and symbols to represent objects and concepts, enabling them to engage in imaginative and pretend play. This symbolic thinking supports children's ability to perform make-believe actions, such as imagining a broom as a horse or their hand as a phone, blending...
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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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Summation Notation01:25

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Sigma notation, also known as summation notation, provides a concise method for representing the sum of a sequence of terms that follow a regular pattern. It utilizes the uppercase Greek letter sigma (∑), A typical expression is:In this form, k the index of summation is 1, the starting value, and n the ending value. The term ak​ represents the general term of the sequence.For example, the increasing sequence 5, 7, 9, ..., 23 over 10 terms can be expressed as:This simplifies the...
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How Data are Classified: Numerical Data00:59

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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
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Updated: Jan 17, 2026

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通过表示性对齐进行象征性数值概括.

Anthony Strock1, Ruizhe Liu1, Rishab Iyer1

  • 1Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.

CogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference
|September 22, 2025
PubMed
概括
此摘要是机器生成的。

了解孩子如何将数量与数字联系起来,是数学技能的关键. 我们的研究表明,代表性对齐对于这个数字认知桥梁至关重要,特别是在比较任务中.

关键词:
人工神经网络的人工神经网络数字语义学的出现.代表性的调整对齐.

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科学领域:

  • 认知神经科学 认知神经科学
  • 发展心理学 发展心理学
  • 计算神经科学是一种神经科学.

背景情况:

  • 将非符号数量映射到符号数量的能力是数学发展的基础.
  • 这种象征性-非象征性整合背后的神经机制尚未得到充分理解.
  • 研究这种认知桥梁对于理解数字认知至关重要.

研究的目的:

  • 研究符号-非符号数字集成的计算原理.
  • 探索表示对齐在数值处理中的作用.
  • 了解发展阶段如何影响数值认知.

主要方法:

  • 利用一种生物启发的神经网络模型.
  • 通过发育灵感的阶段训练网络.
  • 分析了数字格式之间的表示对齐和分歧.

主要成果:

  • 非象征和象征格式之间的表示对齐对于一般化至关重要.
  • 跨格式比较任务比直接标签映射促进更强的对齐.
  • 象征性专业化导致表现的分歧,损害非象征性表现.

结论:

  • 代表性对齐是数值认知的一个基本机制.
  • 跨格式比较任务可以增强儿童的数学学习.
  • 了解这些机制可以为处理数字处理困难的干预提供信息.