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相关概念视频

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...
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Purposive Learning01:22

Purposive Learning

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E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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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...
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Decision Making01:20

Decision Making

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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...
889
Observational Learning01:12

Observational Learning

832
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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Hindsight Biases01:12

Hindsight Biases

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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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相关实验视频

Updated: Jan 15, 2026

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

Published on: September 10, 2018

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儿童利用预测性表征进行灵活,以价值为导向的选择.

Alice Zhang1, Ari E Kahn2, Nathaniel D Daw3

  • 1Department of Psychology, New York University, New York, NY, USA.

Cognition
|October 11, 2025
PubMed
概括
此摘要是机器生成的。

儿童灵活地使用结构化知识来做决定,即使没有昂贵的心理模拟. 研究表明,早期使用继承者表示 (SR) 有助于选择,为儿童如何有效指导行动提供了一种机制.

关键词:
认知发展 认知发展基于模型的强化学习学习.奖励的重估是奖励的重估.继承人代表代表的代表.以价值为导向的选择.

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Last Updated: Jan 15, 2026

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

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New Variations for Strategy Set-shifting in the Rat
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科学领域:

  • 认知发展 认知发展
  • 神经科学是一个神经科学.
  • 学习科学 学习科学

背景情况:

  • 学习者在动态环境中使用心理模型进行灵活的选择.
  • 与成年人相比,儿童和青少年的行动计划表现较弱,可能是由于心理模拟的高认知成本.

研究的目的:

  • 调查儿童,青少年和成年人 (7-23岁) 如何利用结构化知识进行灵活的决策.
  • 检查线下重新规划和继任者表示 (SR) 在指导整个开发中的选择中的作用.

主要方法:

  • 三项实验评估了7至23岁参与者的学习策略.
  • 一个奖励重估任务检查了行为灵活性.
  • 直接测试评估了预测表示的使用,特别是继承者表示 (SR).

主要成果:

  • 孩子们使用结构化知识展示了灵活的行为更新.
  • 在休息期间线下重新计划并没有显著影响跨年龄组的行为.
  • 有证据表明,在儿童中,继承者表示 (SR) 的早期使用已经开始.

结论:

  • 儿童有效地利用结构化知识进行灵活的选择,可能使用简化预测表示.
  • 继承者表示 (SR) 提供了一个机械的解释,孩子如何引导选择没有广泛的基于模型的模拟.
  • 行动计划中的发育差异可能源于所采用的认知策略的效率.