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相关概念视频

Purposive Learning01:22

Purposive Learning

423
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...
423
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
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
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
Associative Learning01:27

Associative Learning

1.2K
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...
1.2K
Instinctive Drift01:05

Instinctive Drift

610
Instinctive drift refers to the tendency of animals to revert to their innate behaviors despite repeated reinforcement. Breland and Breland demonstrated this concept in an experiment with a raccoon. The raccoon was trained to pick up two coins and place them in a container in exchange for food. Initially, the raccoon learned to associate the coins with food, making them a conditioned stimulus or a substitute for food. However, over time, the raccoon became less willing to put the coins into the...
610

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相关实验视频

Updated: Jan 9, 2026

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

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潜在学习进步驱动自主目标选择在人类强化学习学习中的自主目标选择

Gaia Molinaro1, Cédric Colas2, Pierre-Yves Oudeyer3

  • 1University of California, Berkeley.

Advances in neural information processing systems
|December 8, 2025
PubMed
概括

人类根据潜伏的学习进度选择目标,这是对学习的内部估计,而不仅仅是性能变化. 这一发现提升了对人类目标选择和人工智能发展的理解.

科学领域:

  • 认知科学 认知科学
  • 人工智能的人工智能
  • 神经科学是一个神经科学.

背景情况:

  • 人类是目标导向的代理人,但目标选择的机制尚未完全理解.
  • 学习进度或绩效变化是人类和人工智能的目标选择的一个已知的因素.
  • 内在或潜伏的学习进步在人类目标选择中的作用需要进一步调查.

研究的目的:

  • 调查潜学习进度对人类目标选择的影响.
  • 探索个人如何在没有立即绩效反的情况下估计学习.
  • 识别导致目标选择中个体间差异的因素.

主要方法:

  • 为人类参与者 (N = 175) 设计了一个层次化的强化学习任务.
  • 参与者反复选择自己的目标,并学习目标条件的政策.
  • 用行为数据和计算建模来分析目标选择策略.

主要成果:

  • 潜在学习的进展显著影响了人类的目标选择.
  • 在目标选择中观察到个体间的差异,并通过环境结构识别部分解释.
  • 参与者可以在内部估计学习进度,独立于立即的绩效变化.

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Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice

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相关实验视频

Last Updated: Jan 9, 2026

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

9.1K
Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice
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Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice

Published on: March 4, 2014

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Pavlovian Conditioned Approach Training in Rats
06:57

Pavlovian Conditioned Approach Training in Rats

Published on: February 4, 2016

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结论:

  • 潜在的学习进步是人类目标选择的关键驱动力,补充了观察到的表现.
  • 了解潜在学习可以导致个性化的学习系统和更类似人类的人工智能.
  • 在识别环境结构的个人差异影响目标选择策略.