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Related Concept Videos

Purposive Learning01:22

Purposive Learning

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 bonus...
Language Development01:22

Language Development

Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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Observational Learning01:12

Observational Learning

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 because...
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Associative Learning

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Air-entraining Agents

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Related Experiment Video

Updated: Jul 4, 2026

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
05:33

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Published on: January 29, 2020

Artificial grammar learning in pigeons.

Walter T Herbranson1, Charles P Shimp

  • 1Whitman College, Walla Walla, Washington, USA.

Learning & Behavior
|June 12, 2008
PubMed
Summary

Pigeons can learn complex rules governing letter sequences from artificial grammars. Their performance indicates learning relies on both short string patterns and more intricate sequential regularities.

Area of Science:

  • Cognitive psychology
  • Animal behavior
  • Computational linguistics

Background:

  • Artificial grammars provide a framework for studying rule-based learning.
  • Understanding complex stimulus control is crucial for cognitive theories.

Purpose of the Study:

  • To develop and validate a new methodology for assessing complex stimulus control using artificial grammars.
  • To investigate how pigeons learn and respond to grammatical and non-grammatical letter strings.

Main Methods:

  • Two experiments were conducted using pigeons as subjects.
  • Pigeons were trained to discriminate between strings generated by artificial grammars and non-grammatical distortions.
  • Performance was analyzed to identify the basis of stimulus control.

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Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
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Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

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A Method for Investigating Change Blindness in Pigeons (Columba Livia)
06:14

A Method for Investigating Change Blindness in Pigeons (Columba Livia)

Published on: September 7, 2018

Related Experiment Videos

Last Updated: Jul 4, 2026

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
05:33

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Published on: January 29, 2020

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
11:20

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

Published on: June 2, 2014

A Method for Investigating Change Blindness in Pigeons (Columba Livia)
06:14

A Method for Investigating Change Blindness in Pigeons (Columba Livia)

Published on: September 7, 2018

Main Results:

  • Pigeons successfully learned to differentiate grammatical from non-grammatical strings in Experiment 1.
  • Performance was influenced by both short, shared string elements (chunks) and complex sequential patterns.
  • In Experiment 2, pigeons rapidly distinguished between strings from two different artificial grammars, again showing control by chunks and sequential regularities.

Conclusions:

  • The findings support the role of both local (chunk) and global (sequential) information in complex rule learning.
  • The results suggest a 'family resemblance' basis for stimulus control, where multiple shared features contribute to categorization.
  • This study offers new directions for developing theories of complex stimulus control in cognitive systems.