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相关概念视频

Associative Learning01:27

Associative Learning

286
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
286
Purposive Learning01:22

Purposive Learning

97
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...
97
Cognitive Learning01:21

Cognitive Learning

219
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...
219
Hindsight Biases01:12

Hindsight Biases

3.4K
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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Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

519
Classical conditioning not only includes the initial pairing of stimuli but also extends to more complex forms, such as higher-order conditioning. Higher-order conditioning involves creating associations beyond the primary conditioned stimulus, resulting in a chain of conditioned responses.
Higher-order, or second-order, conditioning occurs when a neutral stimulus becomes associated with an already established conditioned stimulus through repeated pairings. For instance, if a dog has been...
519
Observational Learning01:12

Observational Learning

126
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...
126

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相关实验视频

Updated: Jun 2, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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对称的"超级学习":使用双向概率结果增强因果学习.

Santiago Castiello1, Gabriella FitzGerald1, Georgina M Aisbitt1

  • 1University of Oxford, Department of Experimental Psychology.

Journal of experimental psychology. Animal learning and cognition
|January 17, 2025
PubMed
概括
此摘要是机器生成的。

这项研究表明,学习增加积极结果 (生成) 的线索和减少负面结果 (预防) 的线索是对称增强的. 这表明,这两种类型的预测线索都具有平衡的因果学习.

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A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
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科学领域:

  • 认知心理学 认知心理学
  • 学习科学 学习科学 学习科学

背景情况:

  • 学习环境中的线索可以相互干扰或增强.
  • 之前的研究主要检查了二元结果的线索,在激发性和抑制性学习之间产生了不对称性.

研究的目的:

  • 调查对称增强效应在学习生成和预防性因果线索.
  • 探索双向学习使用一个新的实验范式与相反的极性事件.

主要方法:

  • 通过使用预测性学习任务,对133名人类参与者进行了三项实验.
  • 参与者接触到概率线索,预测渐进的积极 (生成) 和消极 (预防) 结果.
  • 分析了明确的预测评级来评估学习.

主要成果:

  • 发现了对称学习的证据,用于生成和预防性线索.
  • 对于两种提示类型来说,在相反的方向上展示了增强的学习效果.
  • 结果与竞争性学习理论和对比的概率估计相一致.

结论:

  • 关于生成和预防线索的学习是对称的和增强的.
  • 这些发现挑战了以前激发性和抑制性学习模型中的感知和动机不对称性.
  • 介绍了"超级学习"的概念,用于双向的因果暗示获取.