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相关概念视频

Aggregates Classification01:29

Aggregates Classification

311
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
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Group Polarization01:01

Group Polarization

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Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
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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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Groupthink01:34

Groupthink

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When in group settings, we are often influenced by the thoughts, feelings, and behaviors around us. Groupthink is another phenomenon of conformity where modification of the opinions of members in a group aligns with what they believe is the group consensus (Janis, 1972). In such situations, the group often takes action that individuals would not perform outside the group setting because groups make more extreme decisions than individuals do. Moreover, groupthink can hinder opposing trains of...
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Confirmation Biases01:31

Confirmation Biases

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The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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Central Tendency: Analysis01:10

Central Tendency: Analysis

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Measures of central tendency are tools used in biostatistics to identify the average or center of a dataset. They offer a single representative value for understanding and summarizing data distribution.
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
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相关实验视频

Updated: Jun 19, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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从综合意见中学习

Kerem Oktar1, Tania Lombrozo1, Thomas L Griffiths1,2

  • 1Department of Psychology, Princeton University.

Psychological science
|July 24, 2024
PubMed
概括
此摘要是机器生成的。

人们经常使用聚合意见,就像群众的智慧,来做决定. 研究表明,贝叶斯模型最好预测个人如何将这些社会信息与他们自己的信仰相结合.

关键词:
贝叶斯的推理 贝叶斯的推理一个人的信仰.不同意见的不同意.启发式听觉学是一种启发式听觉学.审判的判断判断的判断.开放数据是开放的数据.意见 意见 意见 意见预先注册的预先注册的

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科学领域:

  • 认知科学 认知科学
  • 社会心理学 社会心理学
  • 决策科学 决策科学 决策科学

背景情况:

  • 人类的认知依赖于从他人的意见中获取信息.
  • 之前的研究重点是从直接证词中学习.
  • 综合意见是影响判断和决策的越来越重要的社会信息来源.

研究的目的:

  • 调查个人如何从聚合的意见中学习.
  • 为了比较不同的社会学习计算模型的预测准确度.
  • 在使用聚合意见时,确定人类判断是否与贝叶斯原则保持一致.

主要方法:

  • 在美国对886名参与者进行了三项在线实验.
  • 将人类判断与来自三个计算模型的预测进行了比较:贝叶斯模型和来自认识论和经济学的两个替代方案.
  • 贝叶斯模型代表了一种将比例与先前信念相结合的策略.

主要成果:

  • 在所有研究中,参与者的判断与贝叶斯模型预测的一致性最强.
  • 一些参与者的判断更好地通过替代计算策略来解释.
  • 系统推断是从汇总的意见中得出的,通常与贝叶斯的解决方案保持一致.

结论:

  • 个人从汇总的意见中系统地推断出信息.
  • 贝叶斯模型为理解人们如何从聚合的社会信息中学习提供了一个强大的框架.
  • 未来的研究可以在这些发现的基础上,探索社会学习策略中的细微差别.