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相关概念视频

Stability of structures01:14

Stability of structures

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In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
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Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
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Indeterminate Structure01:18

Indeterminate Structure

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Indeterminate structures refer to structures where internal forces and reactions cannot be determined using only the equations of static equilibrium.  Indeterminate structures have more unknown forces and reaction forces than equations of static equilibrium that can be used to determine them. Indeterminate structures are often used in engineering to create complex, efficient, and aesthetically pleasing structures. There are various types of indeterminate structures used in engineering and...
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Uncertainty: Overview00:59

Uncertainty: Overview

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In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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Observational Learning01:12

Observational Learning

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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Introduction to Learning01:18

Introduction to Learning

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Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
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相关实验视频

Updated: Jul 18, 2025

Operant Procedures for Assessing Behavioral Flexibility in Rats
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在不确定性下灵活的结构学习.

Rui Wang1,2, Vael Gates3, Yuan Shen4

  • 1State Key Laboratory of Brain and Cognitive Science, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.

Frontiers in neuroscience
|August 21, 2023
PubMed
概括
此摘要是机器生成的。

动态环境中的不确定性会影响预测性学习. 参与者通过采用概率最大化策略来改善结构学习,特别是通过试验反,突出在可变条件下灵活学习.

关键词:
决策策略 决策策略 决策策略感知上的决定是感知上的决定.学习结构学习结构学习结构不确定性是一种不确定性.视觉 视觉 视觉 视觉 视觉 是一个

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科学领域:

  • 认知心理学 认知心理学
  • 计算神经科学是一种计算神经科学.
  • 机器学习 机器学习

背景情况:

  • 经验有助于解释事件序列并通过识别时间规律来预测未来事件.
  • 了解动态环境中的不确定性如何影响预测结构的学习至关重要.

研究的目的:

  • 研究动态环境中的不确定性对学习预测结构的能力的影响.
  • 检查反在预测性学习过程中解决不确定性的作用.

主要方法:

  • 参与者预测了由一级马尔科夫模型生成的序列中的后续符号.
  • 不确定性是通过符号并发概率和刺激呈现率 (时间) 来操纵的.
  • 反是多样化的 (试验一试,阻断,或没有).

主要成果:

  • 符号共发生概率的相似性增加影响了预测任务的性能.
  • 刺激呈现中的时间动导致了概率最大化策略和改进的预测.
  • 与阻断或没有反相比,逐试反显著提高了学习和战略采用.
  • 执行职能中的个体差异,如选择性注意力,与战略和学习表现相关.

结论:

  • 个体表现出灵活的结构学习,将策略与概率最大化相适应,以减少时间序列中的不确定性.
  • 在可变环境中有效地学习预测统计数据是通过将不确定性降到最低的策略来促进的.
  • 执行认知功能在结构学习能力的个体变化中发挥着作用.