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

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
Decision Making: P-value Method01:09

Decision Making: P-value Method

7.0K
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...
7.0K
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
Decision Making01:20

Decision Making

1.1K
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
1.1K
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

761
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
761
The Availability Heuristic01:08

The Availability Heuristic

7.1K
A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
7.1K

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

Adenine-DNA adducts derived from the highly tumorigenic Dibenzo[a,l]pyrene are resistant to nucleotide excision repair while guanine adducts are not.

Chemical research in toxicology·2013
Same author

Application of acoustic radiation force impulse imaging for the evaluation of focal liver lesion elasticity.

Hepatobiliary & pancreatic diseases international : HBPD INT·2013
Same author

KLF4 promoted odontoblastic differentiation of mouse dental papilla cells via regulation of DMP1.

Journal of cellular physiology·2013
Same author

Tertiary origin and pleistocene diversification of dragon blood tree (Dracaena cambodiana-Asparagaceae) populations in the Asian tropical forests.

PloS one·2013
Same author

Restoration of miR-1228* expression suppresses epithelial-mesenchymal transition in gastric cancer.

PloS one·2013
Same author

Myeloid differentiation factor 88 promotes growth and metastasis of human hepatocellular carcinoma.

Clinical cancer research : an official journal of the American Association for Cancer Research·2013
Same journal

Deep learning model to predict COPD hospital admissions based on meteorological data: a medical meteorological forecast.

Frontiers in big data·2026
Same journal

Where diverse populations gather: transit accessibility and the spatial structure of social mixing.

Frontiers in big data·2026
Same journal

Inner layer security reinforcement for instant payment systems: a dual layer encryption-steganography evaluation in Brunei's digital payment context.

Frontiers in big data·2026
Same journal

Measuring the impact of virtualization and containerization on the environment when using GPUs for processing the AI models.

Frontiers in big data·2026
Same journal

Using artificial intelligence to improve governance and public services in Africa.

Frontiers in big data·2026
Same journal

Case count metric for comparative analysis of entity resolution results.

Frontiers in big data·2026
関連記事をすべて見る

関連する実験動画

Updated: Feb 21, 2026

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.5K

長期の公平性のために,連続的な意思決定におけるアルゴリズムのリサーチ.

Francisco Gumucio1, Lu Zhang1

  • 1Department of Electrical Engineering and Computer Science, University of Arkansas, Fayetteville, AR, United States.

Frontiers in big data
|February 20, 2026
PubMed
まとめ
この要約は機械生成です。

連続した決定において長期的な公平性を達成することは難しい. この研究では,時間とともに格差を減らすパーソナライズされたプランを作成するために,公平性のための連続的因果アルゴリズムリサーチ (SCARF) を導入します.

キーワード:
アルゴリズムによるリサーチカウンターファクチュアル・カウンターファクチュアル長期的な公平性連続した意思決定.構造的な因果関係モデル

さらに関連する動画

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
08:24

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

Published on: August 25, 2023

1.2K
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

1.0K

関連する実験動画

Last Updated: Feb 21, 2026

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.5K
The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
08:24

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

Published on: August 25, 2023

1.2K
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

1.0K

科学分野:

  • 人工知能 (AI) とは,人工知能 (AI) のことです.
  • コンピュータサイエンス コンピュータサイエンス
  • 機械学習 (Machine Learning) とは,機械学習 (Machine Learning) について学ぶことです.

背景:

  • 連続的な意思決定は,早期の選択が格差を悪化させる可能性があるため,長期的な公平性にとって課題となる.
  • 現在の公平性の方法では,個々の介入を無視して,意思決定モデルを直接調整することが多い.

研究 の 目的:

  • 連続的アルゴリズムリサーチを通じて長期的な公平性を達成するための新しい枠組みを導入する.
  • パーソナライズされ,時間的に一貫した救済計画を生成するための因果的に根付いたアプローチを開発する.

主な方法:

  • 公平性のための連続的因果アルゴリズムリサーチ (SCARF) が導入されました.
  • 統合された構造的因果モデリングと連続的な生成モデリング.
  • 予算の制限を伴う短期的および長期的公平性の制約を組み込む.

主要な成果:

  • SCARFは,複数の意思決定サイクルにおける格差を和らげるパーソナライズされたリサーチ軌道を生成します.
  • 経験的分析は,連続的な介入の下で,短期的および長期的な公正性との間のトレードオフを明らかにしました.
  • 合成および半合成データセットに対するSCARFの有効性を実証しました.

結論:

  • SCARFは,ダイナミックな意思決定における長期的な公平性を分析し,改善するための実用的な枠組みを提供します.
  • このアプローチは,公平な結果を確実にするために,個人に実行可能な介入を提供します.
  • 公平性の介入において時間的動態を考慮することの重要性を強調する.