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Discover LudwigThe phrase "active reasoning" is correct and usable in written English.
It can be used to describe a process of thinking critically and engaging with information in a dynamic way.
Example: "In order to solve complex problems, one must engage in active reasoning rather than passive acceptance of information."
Alternatives: "critical thinking" or "engaged reasoning".
Exact(3)
The time difference is caused by the consumed time in active reasoning process when SeeBot tries to increase the confidence level on the detection results.
As long as new findings correspond with this schema, no active reasoning is required (ibid., p. 115).
In contrast to previous research suggesting patients' passivity in response to symptoms of cancer (9), current findings indicate that patients engage in active reasoning and seek out information to make sense of symptoms.
Similar(55)
While this dorsal network was active during reasoning in general, the level of BOLD activation showed a strong increase when rule complexity was manipulated, both during the period of time when the rule was being derived and when it was being applied.
To the best of our knowledge, SeeBot is the first active evidential reasoning framework for botnet detection that only assumes the intrinsic botnet activities.
Figure 2 Active evidential reasoning framework.
Section 3 proposes an active evidential reasoning based botnet detection model.
Then we present the active evidential reasoning framework called SeeBot, and elaborate its functional modules.
SeeBot is built upon a new active evidential reasoning model, which integrates the advantage of both passive and active monitoring and detection into one framework.
Our experiments show that both performance and accuracy of botnet detection can be greatly improved by the active evidential reasoning, especially when the evidence is weak, hidden or lost.
In order to identify brain regions that were more active when reasoning demands increased, the data were examined using a 2 × 2 full factorial design in SPM5 in which the factors were rule complexity (1- vs. 2-rule problems) and analogical distance (near vs. far analogical problems).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com