↓ Skip to main content

Technical intelligence in animals: the kea model

Overview of attention for article published in Animal Cognition, August 2006
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
googleplus
1 Google+ user

Citations

dimensions_citation
155 Dimensions

Readers on

mendeley
309 Mendeley
connotea
1 Connotea
Title
Technical intelligence in animals: the kea model
Published in
Animal Cognition, August 2006
DOI 10.1007/s10071-006-0033-8
Pubmed ID
Authors

Ludwig Huber, Gyula K. Gajdon

Abstract

The ability to act on information flexibly is one of the cornerstones of intelligent behavior. As particularly informative example, tool-oriented behavior has been investigated to determine to which extent nonhuman animals understand means-end relations, object affordances, and have specific motor skills. Even planning with foresight, goal-directed problem solving and immediate causal inference have been a focus of research. However, these cognitive abilities may not be restricted to tool-using animals but may be found also in animals that show high levels of curiosity, object exploration and manipulation, and extractive foraging behavior. The kea, a New Zealand parrot, is a particularly good example. We here review findings from laboratory experiments and field observations of keas revealing surprising cognitive capacities in the physical domain. In an experiment with captive keas, the success rate of individuals that were allowed to observe a trained conspecific was significantly higher than that of naive control subjects due to their acquisition of some functional understanding of the task through observation. In a further experiment using the string-pulling task, a well-probed test for means-end comprehension, we found the keas finding an immediate solution that could not be improved upon in nine further trials. We interpreted their performance as insightful in the sense of being sensitive of the relevant functional properties of the task and thereby producing a new adaptive response without trial-and-error learning. Together, these findings contribute to the ongoing debate on the distribution of higher cognitive skills in the animal kingdom by showing high levels of sensorimotor intelligence in animals that do not use tools. In conclusion, we suggest that the 'Technical intelligence hypothesis' (Byrne, Machiavellian intelligence II: extensions and evaluations, pp 289-211, 1997), which has been proposed to explain the origin of the ape/monkey grade-shift in intelligence by a selection pressure upon an increased efficiency in foraging behavior, should be extended, that is, applied to some birds as well.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Germany 3 <1%
Austria 3 <1%
Chile 1 <1%
South Africa 1 <1%
Hungary 1 <1%
United Kingdom 1 <1%
Costa Rica 1 <1%
Argentina 1 <1%
Other 1 <1%
Unknown 291 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 20%
Student > Master 52 17%
Researcher 49 16%
Student > Bachelor 41 13%
Professor 18 6%
Other 55 18%
Unknown 33 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 150 49%
Psychology 54 17%
Environmental Science 16 5%
Veterinary Science and Veterinary Medicine 6 2%
Social Sciences 6 2%
Other 36 12%
Unknown 41 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 January 2022.
All research outputs
#3,266,663
of 22,858,915 outputs
Outputs from Animal Cognition
#602
of 1,456 outputs
Outputs of similar age
#7,062
of 66,141 outputs
Outputs of similar age from Animal Cognition
#5
of 18 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.4. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 66,141 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.