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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.
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Purposive Learning01:22

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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 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.
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Stimulus valence moderates self-learning.

Parnian Jalalian1, Saga Svensson1, Marius Golubickis1

  • 1School of Psychology, University of Aberdeen, Aberdeen, Scotland, UK.

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|April 5, 2024
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Summary
This summary is machine-generated.

Self-relevance impairs learning of desirable items but speeds up learning of undesirable items. This study explores how stimulus desirability affects self-learning and ownership.

Keywords:
Selflearningownershipself-prioritisationvalence

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Computational Modeling

Background:

  • Self-relevance typically impairs instrumental learning compared to friend-associated stimuli.
  • The influence of stimulus valence (desirability) on self-related learning remains unclear.

Purpose of the Study:

  • To investigate if stimulus valence affects the acquisition of object-ownership knowledge related to self versus friend.
  • To determine how desirability interacts with self-relevance in probabilistic learning.

Main Methods:

  • A probabilistic selection task was employed to assess learning of owned objects (self vs. friend).
  • Computational modeling, specifically Reinforcement Learning Drift Diffusion Model analysis, was used.
  • Stimulus valence was manipulated using desirable and undesirable posters.

Main Results:

  • Undesirable stimuli were learned faster for self than for a friend, while desirable stimuli showed the opposite pattern.
  • Learning rates correlated with reward sensitivity towards choices based on ownership and valence.
  • Decisional caution was higher for self-relevant responses compared to friend-relevant responses.

Conclusions:

  • Stimulus valence significantly modulates the impact of self-relevance on learning.
  • Valence and self-relevance interact to influence probabilistic learning and reward sensitivity.
  • Findings contribute to understanding self-function in learning and decision-making.