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相关概念视频

Deindividuation00:57

Deindividuation

26.4K
Deindividuation is a form of social influence on an individual’s behavior such that the individual engages in unusual or non-normal behavior while in a group setting. Why? Because in these group settings, the individual no longer sees themselves as an individual anymore, disinhibiting their behavior and personal restraint.
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Principle of Moments: Problem Solving01:30

Principle of Moments: Problem Solving

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The principle of moments is a fundamental concept in physics and engineering. It refers to the balancing of forces and moments around a point or axis, also known as the pivot. This principle is used in many real-life scenarios, including construction, sports, and daily activities like opening doors and pushing objects.
One such scenario involves a pole placed in a three-dimensional system with a cable attached. When a tension is applied to the cable, the moment about the z-axis passing through...
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Bystander Effect02:09

Bystander Effect

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The discussion of bullying highlights the problem of witnesses not intervening to help a victim. This is a common occurrence, as the following well-publicized event demonstrates. In 1964, in Queens, New York, a 19-year-old woman named Kitty Genovese was attacked by a person with a knife near the back entrance to her apartment building and again in the hallway inside her apartment building. When the attack occurred, she screamed for help numerous times and eventually died from her stab wounds.
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Nonconscious Mimicry01:13

Nonconscious Mimicry

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Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
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Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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Social Proof00:52

Social Proof

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Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
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相关实验视频

Updated: Jun 28, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

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集体行为从惊喜减少到最小化.

Conor Heins1,2,3,4, Beren Millidge5, Lancelot Da Costa4,6,7

  • 1Department of Collective Behaviour, Max Planck Institute of Animal Behavior, Konstanz D-78457, Germany.

Proceedings of the National Academy of Sciences of the United States of America
|April 17, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了积极的推断来模拟集体动物行为,表明最小化惊喜自然会产生群体运动模式,如凝聚力和无预定义规则的定向运动.

关键词:
贝叶斯的推理 贝叶斯的推理积极的推理推理.基于代理的模型基于代理的模型.动物行为 动物行为集体动议是一项集体动议.

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科学领域:

  • 集体行为 集体行为
  • 计算神经科学是一种计算神经科学.
  • 理论生态学的理论生态学.

背景情况:

  • 集体运动在自然界中很常见,模型经常使用自动运动的粒子和社会力量.
  • 生物是概率性的决策者,而不是简单的粒子.

研究的目的:

  • 引入主动推理作为一种用于建模集体行为的新框架.
  • 为了证明如何尽量减少惊喜可以解释新出现的群体动态.
  • 探索个人信仰和集体属性之间的关系.

主要方法:

  • 开发了一个基于主动推理和主动贝叶斯推理的计算模型.
  • 模拟代理人驱动的必要性,以最大限度地减少惊喜.
  • 分析了诸如凝聚力,磨削和定向运动等新兴群体现象.
  • 探索参数空间,将个人信仰与群体特征联系起来.

主要成果:

  • 像凝聚力和定向运动这样的集体现象自然地从主动推理框架中出现.
  • 积极推断统一和概括了经典的"社会力量"模型.
  • 个人对不确定性的信念会影响集体决策的准确性.
  • 代理商可以更新他们的模型,从而实现更强大的信息编码和对波动的敏感性.

结论:

  • 积极推断为理解集体行为提供了一个统一的认知框架.
  • 这种方法为传统的基于粒子的模型提供了一个强大的替代方案.
  • 该模型强调了个人信念更新在群体动态和信息处理中的作用.