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New Caledonian Crows Learn the Functional Properties of Novel Tool Types

Overview of attention for article published in PLOS ONE, December 2011
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Title
New Caledonian Crows Learn the Functional Properties of Novel Tool Types
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0026887
Pubmed ID
Authors

Alex H. Taylor, Douglas M. Elliffe, Gavin R. Hunt, Nathan J. Emery, Nicola S. Clayton, Russell D. Gray

Abstract

New Caledonian crows were presented with Bird and Emery's (2009a) Aesop's fable paradigm, which requires stones to be dropped into a water-filled tube to bring floating food within reach. The crows did not spontaneously use stones as tools, but quickly learned to do so, and to choose objects and materials with functional properties. Some crows discarded both inefficient and non-functional objects before observing their effects on the water level. Interestingly, the crows did not learn to discriminate between functional and non-functional objects and materials when there was an arbitrary, rather than causal, link between object and reward. This finding suggests that the crows' performances were not based on associative learning alone. That is, learning was not guided solely by the covariation rate between stimuli and outcomes or the conditioned reinforcement properties acquired by functional objects. Our results, therefore, show that New Caledonian crows can process causal information not only when it is linked to sticks and stick-like tools but also when it concerns the functional properties of novel types of tool.

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Mendeley readers

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Geographical breakdown

Country Count As %
United States 3 3%
Switzerland 1 <1%
Austria 1 <1%
Brazil 1 <1%
Germany 1 <1%
Romania 1 <1%
United Kingdom 1 <1%
Venezuela, Bolivarian Republic of 1 <1%
Luxembourg 1 <1%
Other 0 0%
Unknown 108 91%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 24 20%
Student > Ph. D. Student 21 18%
Researcher 17 14%
Student > Master 14 12%
Student > Doctoral Student 7 6%
Other 22 18%
Unknown 14 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 41%
Psychology 26 22%
Environmental Science 4 3%
Social Sciences 3 3%
Computer Science 2 2%
Other 16 13%
Unknown 19 16%