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Related Concept Videos

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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Associative Learning01:27

Associative Learning

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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...
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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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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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Effects of feedback01:24

Effects of feedback

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Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
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Law of Effect01:06

Law of Effect

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B.F. Skinner, a prominent figure in behavioral psychology, introduced operant conditioning by emphasizing the role of consequences in shaping behavior. This theory builds upon the law of effect proposed by Edward Thorndike, which posits that behaviors followed by satisfying outcomes are likely to be repeated. In contrast, those followed by unsatisfying outcomes are less likely to recur.
Edward Thorndike's foundational work involved studying learning in animals, particularly using puzzle...
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Related Experiment Video

Updated: Nov 8, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Frequency effects in action versus value learning.

Hilary J Don1, Darrell A Worthy1

  • 1Department of Psychological and Brain Sciences.

Journal of Experimental Psychology. Learning, Memory, and Cognition
|April 19, 2021
PubMed
Summary
This summary is machine-generated.

Reinforcement learning shows a preference for frequently experienced options, even with lower rewards. This frequency effect suggests value is based on cumulative experience, not just average reward.

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Area of Science:

  • Cognitive Psychology
  • Reinforcement Learning
  • Decision Making

Background:

  • Reinforcement learning research indicates a frequency effect: preference for lower-reward options experienced more often.
  • This challenges the assumption that expected value relies solely on average reward, suggesting cumulative instances are key.
  • Option frequency during training might influence instrumental action reinforcement, impacting subsequent choices.

Purpose of the Study:

  • To investigate the roles of action reinforcement and option value in the frequency effect.
  • To differentiate between value-based and action-reinforcement-based contributions to choice preference.

Main Methods:

  • Two experiments were conducted, varying the training method for choice options.
  • Experiment 1 used standard choice training; Experiment 2 used individual option presentation to isolate action reinforcement.
  • A reward likelihood rating task was included in both experiments to assess option value independent of action reinforcement.

Main Results:

  • Reducing action reinforcement (Experiment 2) weakened the frequency effect compared to standard training (Experiment 1).
  • Frequency effects persisted even when action reinforcement was minimized, indicating a role for option value.
  • Reward likelihood ratings mirrored choice preferences, suggesting action reinforcement may also bias value judgments.

Conclusions:

  • Action reinforcement contributes to the frequency effect in reinforcement learning.
  • Option value, influenced by cumulative experience, also plays a significant role.
  • The findings suggest a complex interplay where reinforcement history can shape perceived option value.