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Artificial grammar learning

Known as: AGL, Artifical Grammar Learning 
Artificial grammar learning (AGL) is a paradigm of study within cognitive psychology and linguistics. Its goal is to investigate the processes that… 
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Related topics

Related topics

6 relations
Adaptive grammarArtificial intelligenceChomsky hierarchyGrammar induction

Broader (1)

Computational linguistics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Neural Underpinnings of Phonotactic Rule Learning
This study used behavioral measures and ERP difference waves to measure the underlying brain processes during the categorization… 
2015
2015
Chapter 6 Inferences about consciousness using subjective reports of confidence
An important aspect of consciousness is the ability to reflect upon one’s own thoughts, an insight that can be traced back to… 
Review
2014
Review
2014
The Non-Hierarchical Nature of the Chomsky Hierarchy-Driven Artificial-Grammar Learning
Recent artificial-grammar learning (AGL) paradigms driven by the Chomsky hierarchy paved the way for direct comparisons between… 
2010
2010
The Metacognitive Role of Familiarity in Artificial Grammar Learning: Transitions from Unconscious to Conscious Knowledge
We present two methods by which people could learn (e.g., artificial grammars): learning by a single updating model that has the… 
2008
2008
A Connectionist Model of Artificial Grammar Learning : Simulations Based on Higham ( 1997 ) Indexes of Knowledge Representation
One of the most vividly discussed issues in implicit learning literature is the representation of knowledge acquired during… 
2007
2007
The subjective experience of remembering in artificial grammar learning
The question of what processes are involved in artificial grammar learning has been the subject of a great deal of debate for… 
2002
2002
Modularity and artificial grammar learning
2002
2002
Explicit knowledge in artificial grammar learning
The purpose of this study was to investigate the validity of an explicit generation task in order to assess the explicit… 
Review
2001
Review
2001
1 Modularity and Artificial Grammar Learning
People have an impressive capacity for storing information about particular events. This "episodic" memory allows us to recall… 
1998
1998
Generality of the abstraction mechanisms in artificial grammar learning
Artificial grammar learning (AGL; Reber, 1989) has been a major experimental paradigm for the study of human induction processes… 
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