Visual artificial grammar learning: comparative research on humans, kea (Nestor notabilis) and pigeons (Columba livia)
Artificial grammar learning (AGL) provides a useful tool for exploring rule learning strategies linked to general purpose pattern perception. To be able to directly compare performance of humans with other species with different memory capacities, we developed an AGL task in the visual domain. Prese...
Saved in:
Published in | Philosophical transactions of the Royal Society of London. Series B. Biological sciences Vol. 367; no. 1598; pp. 1995 - 2006 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
The Royal Society
19.07.2012
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Artificial grammar learning (AGL) provides a useful tool for exploring rule learning strategies linked to general purpose pattern perception. To be able to directly compare performance of humans with other species with different memory capacities, we developed an AGL task in the visual domain. Presenting entire visual patterns simultaneously instead of sequentially minimizes the amount of required working memory. This approach allowed us to evaluate performance levels of two bird species, kea (Nestor notabilis) and pigeons (Columba livia), in direct comparison to human participants. After being trained to discriminate between two types of visual patterns generated by rules at different levels of computational complexity and presented on a computer screen, birds and humans received further training with a series of novel stimuli that followed the same rules, but differed in various visual features from the training stimuli. Most avian and all human subjects continued to perform well above chance during this initial generalization phase, suggesting that they were able to generalize learned rules to novel stimuli. However, detailed testing with stimuli that violated the intended rules regarding the exact number of stimulus elements indicates that neither bird species was able to successfully acquire the intended pattern rule. Our data suggest that, in contrast to humans, these birds were unable to master a simple rule above the finite-state level, even with simultaneous item presentation and despite intensive training. |
---|---|
Bibliography: | istex:7C02D065A1D53B6EEFB8598D0D61EAB2246CF6E8 href:rstb20120096.pdf One contribution of 13 to a Theme Issue ‘Pattern perception and computational complexity’. ArticleID:rstb20120096 ark:/67375/V84-WFL3MLGN-D Theme Issue 'Pattern perception and computational complexity' compiled and edited by W. Tecumseh Fitch, Angela D. Friederici and Peter Hagoort ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0962-8436 1471-2970 1471-2970 |
DOI: | 10.1098/rstb.2012.0096 |