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Previous experience with trap tasks did not influence the subjects' performance.
We found no evidence that the amount of experience with trap tasks had an effect on the performance in the current study.
The poor performance of the subjects on the trap tasks reported in some of the previous studies (Visalberghi and Limongelli 1994; Povinelli 2000; Fujita et al. 2003) contrasts with the better performance observed in the current study.
In addition, the number of trap tasks to which the subject had been exposed had no significant effect on the scores of the trap-tube task (r = 0.33, P = 0.077, one-tailed) and trap-platform task (r = 0.27, P = 0.12, one-tailed).
Similar(55)
Povinelli (2000) also attempted to simplify the trap-tube problem by administering an equivalent trap task with a different setup.
This paper proposes a flexible shape formation algorithm by using Radial Basis Implicit Function (RBIF) to realize the multi-target trapping task that needs the transformation of trapping shape response to dynamic targets.
We found that the orangutans of the two populations differed significantly in the honey-trap task, but not in the raking task, and that the results in the two tasks were not correlated, providing convincing evidence that genetic differences did not play a role in the differences in tool use between these two populations.
We chose three experimental designs that have been used to test several primate species (trap tube task and modification task) and New Caledonian crows (tool length task).
However, procedural modifications (e.g. trap table task) may not only remove task constraints but also simplify the problem conceptually.
One of six woodpecker finches was able to solve the trap tube task, and several individuals modified tools and chose twigs of appropriate length.
Twelve subjects out of 20 solved the platform problem, whereas only eight were able to solve the trap tube task.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com