With armies of willing freelancers ready to complete all sorts of tasks, paired with efficient routing networks built on the backs of iOS and Android, what we have is, effectively, Siri for real life, a digital assistant transformed into a personal assistant.
Within analogy task, accuracy was lower in crossdimension (73.5%) than in intradimension (86.5%) tasks (paired t-test: t(15) = 5.2; P < 0.001).
Dividing the two tasks, paired post hoc t-tests to investigate between session effects, relative to ListWhite, demonstrated no differences between the two sessions for either task.
In order to determine brain activations for different addition tasks, paired t-tests were done separately on EX versus rest contrast and AP versus rest contrast in each group.
As an assessment task, pair students up and ask them to play a verbal tennis match in which they take it in turns to say one thing each that they have learnt about programming and code.
It calculates the Q value for this (state, task) pair with the immediate reward.
For each task pair, we directly compared the activations evoked by the same target sentences in the different contexts.
First, we extracted the CA associated with each task pair in each ROI in each subject.
Matrices show the classification accuracy of decoding each task pair; values below the diagonal show classification accuracy for all task pairs, while non-grey values above the diagonal show only decoding that survived the threshold for statistical significance.
The matrices in Figure 4A show the classification accuracy (CA) for each task pair in each ROI, averaged across participants.
