Theories of artificial grammar learning.

By Emmanuel M. Pothos. Psychological bulletin, 2007

300 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/e739061c370a3c7adc6ccac91594acb6ff1d00f1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ikujiro Nonaka
2. Georgvon Krogh

In Cognitive Neuroscience

1. Ikujiro Nonaka
2. Georgvon Krogh

Citations in the corpus

• The logic of syntactic priming and acceptability judgments (2016, unknown): “Similarly, artificial language learning sheds light on the representations learners extract from linguistic data and use to guide generalization (Pothos, 2007; Reber, 1967; Saffran et al., 2008; for review, see Erickson & Thiessen, 2015).”
• Perspective - Tacit Knowledge and Knowledge Conversion: Controversy and Advancement in Organizational Knowledge Creation Theory (2009, background): “Furthermore, explicit knowledge " starts as slow and consciously modifiable, but with repetition, it gradually becomes automated " (Pothos 2007, p. 230).”