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相关概念视频

Decision Making01:20

Decision Making

109
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...
109
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.3K
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...
5.3K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
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...
4.0K
Reason and Intuition01:37

Reason and Intuition

6.4K
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...
6.4K
Survival Tree01:19

Survival Tree

84
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
84
Problem-Solving01:29

Problem-Solving

163
Effective problem-solving consists of two steps: 1. identifying the problem and 2. selecting the appropriate problem-solving strategy (i.e., a plan of action used to find a solution). Humans use four problem-solving strategies:
163

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相关实验视频

Updated: Jun 28, 2025

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
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科学和工程中的问题选择和决策树

Michael A Fischbach1

  • 1ChEM-H Institute, Stanford University, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.

Cell
|April 12, 2024
PubMed
概括

选择正确的科学问题对于最大化研究影响至关重要. 这一框架指导科学家和工程师选择具有影响力的问题,并通过结构化的构想和评估提高他们的成功机会.

科学领域:

  • 科学研究和开发
  • 工程问题解决

背景情况:

  • 问题选择花费大量时间,往往超过了解决方案开发所花费的时间.
  • 这种问题选择与解决方案执行之间的不平衡可能会限制科学和工程努力的整体影响.

研究的目的:

  • 为优化科学和工程研究中的问题选择阶段引入一个新的框架.
  • 提供可操作的指导方针,以提高所选研究问题的影响和成功率.

主要方法:

  • 开发结构化提示以促进研究构想.
  • 建立评估研究问题的潜在影响和成功概率的标准.
  • 在解决问题过程中强调孤立和解决单个参数的原则
  • 探索利用失败作为学习和进步机会的策略.

主要成果:

  • 这是一个全面的框架,旨在简化问题选择过程.
  • 提高研究人员识别高影响力研究问题的能力.
  • 如何系统地解决问题并减轻风险.
  • 承认失败是科学方法的关键组成部分.

结论:

  • 实施这种问题选择框架可以显著提高研究效率和影响力.

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Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
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  • 对问题选择,评估和执行的结构化方法对于科学和工程进步至关重要.
  • 接受失败作为学习机会是创新和研究成功的关键.