Back to Search
Start Over
Computational evidence that frequency trajectory theory does not oppose but emerges from age-of-acquisition theory
- Source :
- Cognitive Science, Cognitive Science, Wiley, 2012, 36 (8), pp.1499-1531. ⟨10.1111/j.1551-6709.2012.01266.x⟩, Cognitive Science, Wiley, 2012, 36 (8), pp.1499-531. 〈10.1111/j.1551-6709.2012.01266.x〉, Cognitive Science, 2012, 36 (8), pp.1499-531. ⟨10.1111/j.1551-6709.2012.01266.x⟩, Cognitive Science, Wiley, 2012, 36 (8), pp.1499-531. ⟨10.1111/j.1551-6709.2012.01266.x⟩
- Publication Year :
- 2012
-
Abstract
- International audience; According to the age-of-acquisition hypothesis, words acquired early in life are processed faster and more accurately than words acquired later. Connectionist models have begun to explore the influence of the age/order of acquisition of items (and also their frequency of encounter). This study attempts to reconcile two different methodological and theoretical approaches (proposed by Lambon Ralph & Ehsan, 2006 and Zevin & Seidenberg, 2002) to age-limited learning effects. The current simulations extend the findings reported by Zevin and Seidenberg (2002) that have shown that frequency trajectories (FTs) have limited and specific effects on word-reading tasks. Using the methodological framework proposed by Lambon Ralph and Ehsan (2006), which makes it possible to compare word-reading and picture-naming tasks in connectionist networks, we were able to show that FT has a considerable influence on age-limited learning effects in a picture naming task. The findings show that when the input-output mappings are arbitrary (simulating picture naming tasks), the links formed by the network become entrenched as a result of early experience and that subsequent variations in frequency of exposure of the items have only a minor impact. In contrast, when the mappings between input-output are quasi-systematic or systematic (simulating word-reading tasks), the training of new items was generalized and resulted in the suppression of age-limited learning effects. At a theoretical level, we suggest that FT, which simultaneously takes account of time and the level of exposure across time, represents a more precise and modulated measure compared with the order of introduction of the items and may lead to innovative hypotheses in the field of age-limited learning effects.
- Subjects :
- Time Factors
Computer science
Task (project management)
Learning effect
0302 clinical medicine
MESH: Models, Psychological
ComputingMilieux_MISCELLANEOUS
MESH : Models, Psychological
Cognitive science
Psycholinguistics
MESH : Neural Networks (Computer)
05 social sciences
Age Factors
Contrast (statistics)
MESH : Artificial Intelligence
Language acquisition
[SCCO.PSYC]Cognitive science/Psychology
[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
MESH : Psycholinguistics
Cognitive psychology
MESH : Time Factors
Order of acquisition
Cognitive Neuroscience
Experimental and Cognitive Psychology
MESH: Reading
Models, Psychological
Language Development
050105 experimental psychology
MESH: Psycholinguistics
03 medical and health sciences
MESH: Neural Networks (Computer)
Connectionism
Artificial Intelligence
MESH: Language Development
MESH: Artificial Intelligence
Humans
0501 psychology and cognitive sciences
MESH: Age Factors
MESH : Language Development
MESH: Humans
MESH: Time Factors
MESH : Humans
MESH : Reading
Word lists by frequency
Age of Acquisition
Reading
[ SDV.NEU ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
MESH : Age Factors
Neural Networks, Computer
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15516709 and 03640213
- Volume :
- 36
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- Cognitive science
- Accession number :
- edsair.doi.dedup.....645717ddfd230788b6e3b972b3c2ebe6
- Full Text :
- https://doi.org/10.1111/j.1551-6709.2012.01266.x⟩