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相关概念视频

Hindsight Biases01:12

Hindsight Biases

4.2K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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Variation01:19

Variation

7.7K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
7.7K
Prediction Intervals01:03

Prediction Intervals

3.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
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Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

10.1K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
10.1K
Predicting Products: SN1 vs. SN202:27

Predicting Products: SN1 vs. SN2

15.9K
Nucleophilic substitution reactions of alkyl halides can proceed via an SN1 or an SN2 mechanism. While in SN2 reactions, the nucleophile attacks the substrate simultaneously as the leaving group departs, in SN1 reactions, the substrate first dissociates to give the carbocation intermediate. Various factors such as the structure of the substrate, the strength of the nucleophile, and the nature of the solvent promote one mechanism over the other.
With increased substitution on the alkyl halide,...
15.9K
Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

13.8K
When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
13.8K

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相关实验视频

Updated: Jan 17, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
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RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

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预言意义在二元期中的意思.

Emilia Kerr1, Benjamin Morillon2, Kristof Strijkers1

  • 1Laboratoire de Parole et Langage, Centre National de la Recherche Scientifique, Institute of Language, Communication and the Brain, Aix-Marseille Universite.

Journal of experimental psychology. General
|September 24, 2025
PubMed
概括

意义预测可以加快对话中的言语速度. 这种效应在预测合作伙伴的回复时更为强烈,突出了双层沟通期间的交互语言处理.

科学领域:

  • 认知科学 认知科学
  • 心理语言学 心理语言学
  • 社会互动 社交互动

背景情况:

  • 意义预测对于高效的语言处理至关重要.
  • 了解二次相互作用中的预测机制是解释流利沟通的关键.

研究的目的:

  • 调查意义预测在二极交互中的作用.
  • 为了确定预测是否只有利于说话者,还是也有利于听众,制定出回应.
  • 在交互式与孤立的语言使用中区分预测处理.

主要方法:

  • 参与者玩了一个语义关联游戏,操纵了词语类别的可预测性.
  • 测量了两个对话者的语音制作时间.
  • 一个对照实验评估了孤立的性能.

主要成果:

  • 可预测性加速了双向互动中的两位参与者的语音产生.
  • 意义预测显著提高了回复合作伙伴的响应速度.
  • 对答案的增强预测效应在隔离实验中消失了.

结论:

  • 双向相互作用表现出增量预测效应,使双方都受益.

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  • 交互式语言使用与个人语言使用相比,涉及不同的预测处理.
  • 研究结果支持联合行动和对话理论,强调相互语言预测.