Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Decision Making01:20

Decision Making

866
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...
866
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

5.0K
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...
5.0K
Cognitive Learning01:21

Cognitive Learning

975
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
975
Observational Learning01:12

Observational Learning

795
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...
795
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.5K
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...
2.5K
Decision Making: P-value Method01:09

Decision Making: P-value Method

6.8K
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...
6.8K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

RBM15 enhances ILDR1 n6-methyladenosine methylation to accelerate gastric adenocarcinoma progression via an IGF2BP3-dependent manner.

Cytotechnology·2026
Same author

Disrupted Mitochondrial Copper Homeostasis Promotes Ferroptotic Stress, Senescence and MASLD Progression.

bioRxiv : the preprint server for biology·2026
Same author

Dietary fructose promotes MASH/HCC progression through enhanced intestinal HIF-2α-dependent iron absorption.

bioRxiv : the preprint server for biology·2026
Same author

Irofulven and RSL3 synergistically target ferroptosis-related gene PTGR1 to treat head and neck squamous cell carcinoma.

Open life sciences·2026
Same author

Functional Brain Network Predictors of Abstinence Treatment Outcomes in Methamphetamine Use Disorder.

CNS neuroscience & therapeutics·2026
Same author

Cross-Scale Self-Supporting Carbon Anode for Fast and Reversible Potassium Storage at Low Voltage.

Small (Weinheim an der Bergstrasse, Germany)·2026

相关实验视频

Updated: Jan 9, 2026

Operant Procedures for Assessing Behavioral Flexibility in Rats
08:30

Operant Procedures for Assessing Behavioral Flexibility in Rats

Published on: February 15, 2015

21.5K

通过强化学习培训的代理人表现出类似人类的决策灵活性.

Yuejia Zhong, Weiyang Shi, Zhenwei Dong

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括

    与监督学习 (SL) 代理商相比,强化学习 (RL) 代理商在认知任务中表现出更高的决策灵活性. 在AI中,RL有效地模拟了人类的适应能力.

    科学领域:

    • 认知科学 认知科学
    • 人工智能的人工智能
    • 计算神经科学是一种神经科学.

    背景情况:

    • 决策灵活性对于人类的认知和适应不断变化的环境至关重要.
    • 人工智能 (AI) 代理,特别是使用深度神经网络的代理,用于模拟人类认知过程.
    • 监督学习 (SL) 和强化学习 (RL) 都用于训练人工智能代理人,但它们在复制人类决策灵活性方面的有效性尚未完全理解.

    研究的目的:

    • 为了比较监督学习 (SL) 和强化学习 (RL) 在训练人工智能代理人的有效性,具有类似人类的决策灵活性.
    • 调查不同学习范式如何影响代理人在不同决策标准下调整战略的能力.

    主要方法:

    • 使用SL和RL范式训练了相同的深层人工神经网络架构.
    • 代理人在三个不同的标准下负责基于记忆的决策任务:精确,保守和自由.
    • 绩效的评估是基于代理人调整决策策略的能力.

    主要成果:

    • 经过SL和RL训练的代理人在精确的决策标准下表现精确.
    • 只有经过RL培训的代理人能够成功地适应保守和自由的决策标准,表现出卓越的灵活性.
    • 在适应各种决策场景方面,RL训练的代理人显著超过SL训练的代理人.

    更多相关视频

    Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
    07:05

    Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

    Published on: September 10, 2018

    6.4K
    An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
    07:42

    An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

    Published on: August 2, 2018

    14.3K

    相关实验视频

    Last Updated: Jan 9, 2026

    Operant Procedures for Assessing Behavioral Flexibility in Rats
    08:30

    Operant Procedures for Assessing Behavioral Flexibility in Rats

    Published on: February 15, 2015

    21.5K
    Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
    07:05

    Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

    Published on: September 10, 2018

    6.4K
    An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
    07:42

    An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

    Published on: August 2, 2018

    14.3K

    结论:

    • 强化学习 (RL) 是一个比监督学习 (SL) 更有效的范式,用于模拟人工智能代理人的类似人类的决策灵活性.
    • 这些发现为开发人工智能系统提供了宝贵的见解,这些系统可以更好地复制人类认知功能,用于现实世界的应用.