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相关概念视频

Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

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Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
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Cognitive Learning01:21

Cognitive Learning

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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...
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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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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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Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

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Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
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相关实验视频

Updated: Jan 11, 2026

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems
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在人类和非人类灵长类动物中学习和概括抽象规则.

Angelle Antoun1,2, Rohini Murugan1,2, Benjamin Wilson3,4

  • 1Department of Psychology, Emory University, Atlanta, GA, USA.

Scientific reports
|November 19, 2025
PubMed
概括

rhesus 可以学习抽象的规则,类似于人类. 然而,子的学习速度较慢,认知灵活性较低,这表明抽象规则表示的差异.

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Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
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科学领域:

  • 认知科学 认知科学
  • 比较心理学比较心理学
  • 神经科学是一个神经科学.

背景情况:

  • 人类语言依赖于抽象规则的一般化.
  • 规则学习和概括的进化起源尚未完全理解.
  • 在非人类灵长类动物中学习抽象规则的证据是不确定的.

研究的目的:

  • 为了研究 rhesus 的学习和概括抽象规则的能力.
  • 为了比较 rhesus macaques 和人类参与者的规则学习能力.
  • 探索物种之间的认知灵活性和刺激域概括的差异.

主要方法:

  • 采用了三种替代的强制选择任务.
  • 参与者 (和人类) 学会根据抽象规则 (ABA,AAB,BAA) 区分序列.
  • 刺激涉及试验独特的彩色形状;测试了跨颜色和形状领域的泛化.

主要成果:

  • 子和人类都学会了抽象的规则.
  • 与人类相比,子在规则切换方面表现出较慢的学习和有限的认知灵活性.
  • 子并没有在不同刺激领域 (从颜色到形状) 中概括规则.

结论:

  • rhesus 有能力学习和概括抽象规则,尽管有局限性.
  • 与人类相比,子似乎形成了更多的特定上下文表示.
  • 这项研究强调了了解动物如何代表抽象规则的重要性,而不仅仅是他们可以学习什么,以深入了解人类认知的独特性.