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This review features a discussion of theoretical considerations and empirical evidence regarding parallel versus serial task processing in multitasking.
We review empirical evidence and demonstrate that shifting between more parallel and more serial task processing critically depends on the conditions under which multiple tasks are performed.
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An encoding strategy of every particle was invented for handling the serial task sequence constraints.
13 subjects participated in the serial task (L versus T) and 13 subjects participated in the parallel task (L versus +).
Despite some disagreements concerning the nature of attentional mechanisms [2], [6] [8], it is generally accepted that parallel tasks reflect pre-attentive processing whereas serial tasks specifically involve attention [1], [2], [6].
Regarding our first task-related hypothesis, the linguistic advantage for visual matching could be explained as a result of parallel letter processing (reading) in contrast to serial number processing (see short discussion).
The control code and the serial tasks are performed by the TinyRisc instructions and the parallel tasks are mapped on the processing elements.
You and every other so-called multitasker are actually serial tasking.
Systems like Deep Dream will run on regular CPUs and the like, of course, but as with so many other data-intensive computing tasks, parallel processing beats serial any day of the week.
Moving up, we get serial, or conditional, processing (lots of "if s, "or"s, and "because"s), and, finally, parallel processing (employing multiple serial constructions simultaneously).
We find a serial architecture for processing for highly separable features (size of circle and the orientation of its diameter) in both the perception and memory tasks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com