Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Reason and Intuition01:37

Reason and Intuition

7.6K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.6K
Groupthink01:34

Groupthink

50.2K
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...
50.2K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

5.6K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
5.6K
Estimating Population Mean with Unknown Standard Deviation01:22

Estimating Population Mean with Unknown Standard Deviation

9.0K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
9.0K
Decision Making: P-value Method01:09

Decision Making: P-value Method

7.1K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
7.1K
Gauss's Law: Problem-Solving01:10

Gauss's Law: Problem-Solving

2.7K
Gauss's law helps determine electric fields even though the law is not directly about electric fields but electric flux. In situations with certain symmetries (spherical, cylindrical, or planar) in the charge distribution, the electric field can be deduced based on the knowledge of the electric flux. In these systems, we can find a Gaussian surface S over which the electric field has a constant magnitude. Furthermore, suppose the electric field is parallel (or antiparallel) to the area vector...
2.7K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Uncovering Sex Differences in the Drosophila Ventral Nerve Cord Through Connectome Alignment.

bioRxiv : the preprint server for biology·2026
Same author

Eyewire II - A connectomic resource for resolving cell types and circuits of the mouse retina.

bioRxiv : the preprint server for biology·2026
Same author

Distributed control circuits across a brain-and-cord connectome.

Nature·2026
Same author

Connectomic reconstruction from hippocampal CA3 reveals spatially graded mossy fiber inputs and selective feedforward inhibition to pyramidal cells.

bioRxiv : the preprint server for biology·2025
Same author

Distributed control circuits across a brain-and-cord connectome.

bioRxiv : the preprint server for biology·2025
Same author

The synaptic architecture of layer 5 thick tufted excitatory neurons in mouse visual cortex.

Nature neuroscience·2025
Same journal

Six ways to put the public at the heart of science and policy.

Nature·2026
Same journal

The complex truth about trust in science.

Nature·2026
Same journal

Have people stopped trusting science? The data tell a surprising story.

Nature·2026
Same journal

How FAIR data are helping to build trust in science.

Nature·2026
Same journal

Scientists should recognize their own political biases to build public trust.

Nature·2026
Same journal

Harmonizing standards and resources for the medical genome.

Nature·2026
関連記事をすべて見る

関連する実験動画

Updated: Mar 8, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.6K

単一の質問の群衆の知恵の問題の解決策

Dražen Prelec1,2,3, H Sebastian Seung4, John McCoy3

  • 1Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

Nature
|January 28, 2017
PubMed
まとめ
この要約は機械生成です。

群衆の知恵は強力ですが 民主的な投票には限界があります 予想以上に人気のある答えを 選択する新しい方法は 複雑な問題解決の 伝統的な方法よりも優れています

さらに関連する動画

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
06:08

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task

Published on: July 22, 2025

1.1K
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

9.9K

関連する実験動画

Last Updated: Mar 8, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.6K
Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
06:08

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task

Published on: July 22, 2025

1.1K
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

9.9K

科学分野:

  • 社会科学
  • 意思決定科学
  • コレクティブインテリジェンス

背景:

  • "群衆の知恵"という概念は 集団の判断が 個人の専門知識を上回ることを示唆しています
  • オンライン投票システムは,予測,政策,専門家評価のためにますます使用されています.
  • 伝統的な民主的な投票方法は シンプルですが 専門的な洞察よりも 一般的な知識に優れています

研究 の 目的:

  • 集団情報における 民主的な投票の限界を 解決するためです
  • 群衆から知恵を引き出すための代替アルゴリズムを提案し 検証する
  • 提案された方法が既存の方法よりも優れていることを示す.

主な方法:

  • 投票の原則を提案しました 答えを予想より人気があるように選択します
  • 合理的な仮定に基づいて 投票者の行動を分析した.
  • 提案された方法を"最も人気のある"と"最も自信のある"の原則と比較した.

主要な成果:

  • 提案された"予測よりも人気がある"原則は,検証された仮定の下で最適な答えをもたらします.
  • 標準的な"最も人気のある"方法と"最も自信のある"方法は同じ仮定で失敗します.
  • 新しい方法は堅牢で,さまざまな意思決定シナリオに適用できます.

結論:

  • 提案された投票原理は 集団的知性を活用するより信頼性の高い方法を提供する.
  • この方法は 民主的な投票に固有の 浅い情報への偏見を克服します
  • このアプローチは,機械学習やサイコメトリクスを越えて,科学や法的論争を含む幅広い適用性があります.