Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 1 |
Descriptor
Learning Processes | 2 |
Symbolic Learning | 2 |
Artificial Intelligence | 1 |
Error Correction | 1 |
Error Patterns | 1 |
Grammar | 1 |
Intuition | 1 |
Mathematical Formulas | 1 |
Models | 1 |
Pictorial Stimuli | 1 |
Prediction | 1 |
More ▼ |
Source
Cognitive Science | 2 |
Publication Type
Journal Articles | 2 |
Opinion Papers | 1 |
Reports - Descriptive | 1 |
Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Eva Viviani; Michael Ramscar; Elizabeth Wonnacott – Cognitive Science, 2024
Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) showed how, consistent with the predictions of error-driven learning models, the order in which stimuli are presented in training can affect category learning. Specifically, learners exposed to artificial language input where objects preceded their labels learned the discriminating features of…
Descriptors: Symbolic Learning, Learning Processes, Artificial Intelligence, Prediction

Ling, Charles X.; Marinov, Marin – Cognitive Science, 1994
Challenges Smolensky's theory that human intuitive/nonconscious cognitive processes can only be accurately explained in terms of subsymbolic computations in artificial neural networks. Symbolic learning models of two cognitive tasks involving nonconscious acquisition of information are presented: learning production rules and artificial finite…
Descriptors: Grammar, Intuition, Learning Processes, Mathematical Formulas