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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

15.4K
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...
15.4K
Language and Cognition01:27

Language and Cognition

716
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
716
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

545
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
545
Cognitivism01:17

Cognitivism

2.9K
Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
2.9K
State Space Representation01:27

State Space Representation

534
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
534
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

3.5K
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
3.5K

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相关实验视频

Updated: Jan 18, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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一个基于大型语言模型的语义嵌入空间,用于建模人类信仰.

Byunghwee Lee1, Rachith Aiyappa1, Yong-Yeol Ahn1

  • 1Center for Complex Networks and Systems Research, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA.

Nature human behaviour
|June 4, 2025
PubMed
概括
此摘要是机器生成的。

研究人员利用大型语言模型和在线辩论数据绘制了成千上万种信仰的地图. 这揭示了信仰如何相互连接,预测新的信仰,估计认知不和,提供了对信仰形成的见解.

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Decoding Natural Behavior from Neuroethological Embedding
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Decoding Natural Behavior from Neuroethological Embedding

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相关实验视频

Last Updated: Jan 18, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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Decoding Natural Behavior from Neuroethological Embedding
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Decoding Natural Behavior from Neuroethological Embedding

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科学领域:

  • 认知科学 认知科学
  • 计算社会科学 计算社会科学
  • 人工智能的人工智能

背景情况:

  • 信念是人类认知,决策和社会互动的基础.
  • 了解信念的相互关系是关键,但先前的研究在范围和方法上是有限的.
  • 现有的研究往往侧重于特定问题,并依赖于传统的调查方法.

研究的目的:

  • 开发一种新的方法来研究成千上万种信仰的相互作用.
  • 利用在线用户辩论数据和大型语言模型进行信念分析.
  • 将信念映射到神经嵌入空间中,以便进行细致的调查.

主要方法:

  • 利用一个微调的大型语言模型来构建一个神经嵌入空间的信念.
  • 分析了广泛的在线用户辩论数据,以捕捉信仰的相互关系.
  • 将各种信仰映射到构建的嵌入空间上,以表示它们的连接和两极分化.

主要成果:

  • 信念空间有效地捕捉了各种社会问题的相互联系和信仰的两极分化.
  • 信念空间中的位置可以预测个体的新信仰.
  • 该模型可以根据现有和新信念之间的空间距离来估计认知失调.

结论:

  • 大型语言模型与集体在线信念数据相结合,为信念形成提供了强大的洞察力.
  • 这种方法为研究复杂的信念系统提供了一个可扩展和细微的方法.
  • 这些发现有助于理解支配人类信仰结构和动态的基本原则.