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Correction to: Effects of grammar complexity on artificial grammar learning
Esther Van den Bos1, Fenna H Poletiek2
1Institute of Psychology, Leiden University, PO Box 9555, 2300 RB, Leiden, The Netherlands. bosejvanden@fsw.leidenuniv.nl.
Memory & Cognition
|June 20, 2019
Summary
An error in calculating topological entropy (TE) was identified in a 2008 study on artificial grammar learning. This correction is crucial for accurately understanding how grammar complexity affects learning processes.
Area of Science:
- Cognitive psychology
- Computational linguistics
- Information theory
Context:
- The study "Effects of Grammar Complexity on Artificial Grammar Learning" by Van den Bos and Poletiek (2008) investigated the relationship between linguistic complexity and learning.
- A specific calculation error concerning topological entropy (TE) was detected in the original publication.
Purpose:
- To identify and correct a computational error in the calculation of topological entropy (TE).
- To ensure the accurate representation of findings related to artificial grammar learning and complexity.
Summary:
- An error in the computation of topological entropy (TE) was found in the 2008 article "Effects of Grammar Complexity on Artificial Grammar Learning."
- This correction impacts the interpretation of results concerning the influence of grammar complexity on learning artificial grammars.
Impact:
- Ensures the reliability of future research citing or building upon these findings.
- Provides a corrected basis for understanding the role of complexity in cognitive learning models.
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