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相关概念视频

Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

677
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
677
Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
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Convergent Evolution01:54

Convergent Evolution

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Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
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Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

66
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
66
Probability in Statistics01:14

Probability in Statistics

12.6K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
12.6K
Genetic Drift03:33

Genetic Drift

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Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
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相关实验视频

Updated: Jun 23, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

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在贝叶斯代理中,随机对对偏好趋同.

Jordan Kemp1,2, Max-Olivier Hongler3, Olivier Gallay4

  • 1Department of Physics, University of Chicago, Chicago, Illinois 60637, USA.

Physical review. E
|June 22, 2024
PubMed
概括

这项研究模拟了代理偏好如何通过观察彼此来趋同. 学习时间影响偏好趋同和,其动态类似于随机过程.

科学领域:

  • 基于代理人的建模.
  • 计算经济学是计算机经济学.
  • 机器学习是机器学习.

背景情况:

  • 信念指导在复杂系统中的代理行为.
  • 序列贝叶斯推理模型在动态条件下形成信念.
  • 有限的理论存在于简单的代理相互作用的偏好进化.

研究的目的:

  • 为了推导出高斯式,双向代理互动模型.
  • 通过观察他人的行为来分析偏好趋同.
  • 了解学习时间在偏好动态中的作用.

主要方法:

  • 开发了一种高斯式,双向代理互动模型.
  • 使用奥恩斯坦-乌伦贝克过程分析了收动态.
  • 采用分析和计算技术.

主要成果:

  • 偏好收动态模仿奥恩斯坦-乌伦贝克过程.
  • 超先前的大小 (学习时间) 决定了收值和非对称偏好.
  • 偏好的动态变异的特点是放松时间t*.

结论:

  • 该模型增强了用于随机,交互式代理模型的工具.

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  • 正式化了代理互动的学习理论.
  • 有助于建模主体-代理和市场理论挑战.