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Robots can exploit learning by adapting their task selection behavior, that is, by selecting with higher probability tasks of the type on which they have improved their performance.
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The influence of the task on the type of priming has been demonstrated by others (e.g., Nakamura et al. 2007; Norris and Kinoshita 2008) and is consistent with the predictive coding explanation of our data.
The interleaver can perform tasks of the types mentioned in Table 2.
While there are significant reasons to discourage all individuals from engaging in phone conversations and other distracting tasks while driving, late middle age adults appeared as capable as young adults of managing the additional workload of a low to moderately demanding cognitive task of the type assessed.
We identified several tasks of this type in the first iteration course, the majority of which were either on exams or in homework problems.
Nevertheless, even these brief answers reveal the potential for tasks of this type to scaffold students' adaptive expertise around modeling at the interface of physics and biology.
Tasks of the same type have the same response time constraint, which is equivalent to the queueing capacity for each type.
We consider a setting in which a robot working repeatedly on tasks of the same type improves its performance on them due to learning.
Clusters are mostly a homogeneous computing environment, where homogeneous nodes run in similar load conditions, and tasks of the same type tend to start and finish at roughly close times.
The following content analysis of the data gathered included the task of identifying the type of the content posted.
Also force field adaptation can be considered as a constrained hybrid task, which depends of the type of force field.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com