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Related Concept Videos

Purposive Learning01:22

Purposive Learning

188
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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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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Instinctive Drift01:05

Instinctive Drift

298
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...
298
Introduction to Learning01:18

Introduction to Learning

519
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...
519
Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

700
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...
700
Observational Learning01:12

Observational Learning

285
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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The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
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There's something about a pattern: Choice between pattern and random sequences in implicit learning.

Charles Locurto1, James Donohue1, Amy Hasenauer1

  • 1Department of Psychology, College of the Holy Cross.

Journal of Experimental Psychology. Animal Learning and Cognition
|September 29, 2022
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Summary
This summary is machine-generated.

Rats prefer predictable pattern sequences over random ones when reinforcement is equal. However, this preference shifts when random sequences offer higher reinforcement, suggesting information content influences choice.

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Area of Science:

  • Cognitive Psychology
  • Animal Behavior
  • Behavioral Neuroscience

Background:

  • Organisms often encounter sequences of events in their environment.
  • Understanding preferences for predictable versus unpredictable stimuli is key to learning and decision-making.
  • Previous research has explored sequence learning and reinforcement, but direct comparisons of pattern versus random sequences under controlled conditions are limited.

Purpose of the Study:

  • To investigate the preference of male Silver King rats for pattern sequences compared to random sequences.
  • To determine if this preference changes based on reinforcement schedules.
  • To explore the role of predictability and information in sequence selection.

Main Methods:

  • Three experiments utilized touchscreen-presented visual image sequences (pattern vs. random).
  • A forced-choice phase equated performance on both sequence types.
  • A free-choice phase allowed rats to select between pattern and random sequences under varying reinforcement probabilities.

Main Results:

  • In free-choice, rats significantly preferred pattern sequences (70% of trials) when reinforcement was equated.
  • When random sequences offered 50% higher reinforcement, rats chose them 83% of the time.
  • Performance equalization in the forced-choice phase suggests the preference in free-choice was not due to inherent sequence difficulty.

Conclusions:

  • Rats exhibit a preference for pattern sequences when predictability is the primary factor.
  • This preference is malleable and can be overridden by differential reinforcement, indicating a strategic decision-making process.
  • The findings suggest that the perceived informational value of predictable patterns, beyond direct reinforcement, influences choice behavior.