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Purposive Learning01:22

Purposive Learning

408
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...
408
Chunking01:12

Chunking

358
Chunking is a powerful cognitive technique that improves short-term memory retention by organizing information into smaller, more manageable units. The brain, limited by working memory capacity, can more easily process and store information when it is divided into "chunks" rather than presented as discrete, unrelated elements. Chunking is especially useful when dealing with large amounts of information, such as numerical sequences, words, or complex ideas.
The principle behind chunking...
358
Cognitive Learning01:21

Cognitive Learning

957
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...
957
Observational Learning01:12

Observational Learning

779
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...
779
Machines: Problem Solving II01:30

Machines: Problem Solving II

617
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
617
Machines: Problem Solving I01:22

Machines: Problem Solving I

653
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
653

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相关实验视频

Updated: Jan 6, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

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人类在学习或生成中心嵌入序列时是否使用向下推向堆?

Stephen Ferrigno1,2, Samuel J Cheyette3, Susan Carey2

  • 1Department of Psychology, University of Wisconsin-Madison.

Cognitive science
|September 15, 2025
PubMed
概括
此摘要是机器生成的。

成年人可以学习复杂的语法,但令人惊的是,中间嵌入式和交叉序列序列都是使用队列内存处理的,而不是堆. 这挑战了关于认知序列处理的假设.

关键词:
人工语法的人工语法中心嵌入式结构.跨序列结构的跨序列结构复制性是指复制性的.序列学习的学习顺序.

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科学领域:

  • 认知科学 认知科学
  • 计算语言学 计算语言学
  • 神经科学是一个神经科学.

背景情况:

  • 复杂的序列是人类在语言,音乐和逻辑方面的认知的基础.
  • 学习和处理抽象语法的潜在认知机制在很大程度上是未知的.

研究的目的:

  • 调查成年人如何学习和表现中心嵌入式和交叉序列人工语法.
  • 测试处理这些复杂序列所涉及的内存架构 (堆与队列).

主要方法:

  • 使用人工语法学习任务与未经训练的概括测试.
  • 分析错误模式,响应时间,并采用贝叶斯混合模型.
  • 使用堆和队列内存模型比较序列生成.

主要成果:

  • 成年人成功地学习了中间嵌入式和交叉序列语法.
  • 交叉序列语法比中心嵌入式的语法更容易被学习和产生.
  • 与预期相反,没有证据支持中心嵌入序列的堆架构;对两者都表明了队列架构.

结论:

  • 这些发现挑战了对堆架构对于中心嵌入式序列处理是必要的假设.
  • 中部嵌入式和交叉串行序列似乎都是使用队列 (先进先出) 记忆架构生成的.
  • 认知序列处理可能依赖于比以前认为的更加统一的记忆机制.