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相关概念视频

Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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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...
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Decision Making: P-value Method01:09

Decision Making: P-value Method

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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...
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Reason and Intuition01:37

Reason and Intuition

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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...
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Decision Making01:20

Decision Making

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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...
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Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

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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...
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The Availability Heuristic01:08

The Availability Heuristic

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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):
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Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
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顺序性决策中的算法回顾对于长期的公平性.

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
概括
此摘要是机器生成的。

在连续的决策中实现长期公平是很困难的. 本研究介绍了顺序因果算法诉求公平 (SCARF) 以创建个性化计划,以减少随时间的差异.

关键词:
算法求助是一种算法.这是一个反事实性的反事实.长期的公平和公平.顺序性决策的产生.结构性因果模型是结构性因果模型.

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科学领域:

  • 人工智能的人工智能
  • 计算机科学 计算机科学
  • 机器学习 机器学习

背景情况:

  • 顺序性决策对长期的公平性构成挑战,因为早期的选择可能会加剧差异.
  • 当前的公平性方法往往直接调整决策模型,忽视个人干预.

研究的目的:

  • 通过顺序算法诉讼来引入一个新的框架,以实现长期公平.
  • 开发一种基于因果关系的方法,用于生成个性化,时间连贯的补救计划.

主要方法:

  • 引入了对公平性的顺序因果算法诉讼 (SCARF).
  • 综合结构因果建模与顺序生成建模.
  • 内置的短期和长期公平约束与预算限制.

主要成果:

  • 在多个决策周期中,SCARF生成个性化的诉求轨迹,减轻多个决策周期中的差异.
  • 经验分析显示,在连续干预下,短期和长期公平性之间存在权衡.
  • 在合成和半合成数据集上证明了SCARF的有效性.

结论:

  • 在动态决策中,SCARF为分析和改善长期公平性提供了一个实用的框架.
  • 该方法为个人提供可行的干预措施,以确保公平的结果.
  • 强调在公平性干预中考虑时间动态的重要性.