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No complex configuration adaptation decision making engine was found in the literature based on such techniques.
It has also shown its capability to do so in a time short enough to suit run-time adaptation decision making.
Particularly, PeRSIVA assesses the results of student modeling in students' satisfaction, performance, progress, behavior and state, as well as the validity of the conclusions drawn by the student model and the validity of the adaptation decision making.
The following section outlines a theoretical framework with which to evaluate these concepts of interest within the context of climate change and health adaptation decision making.
By its very nature this methodology does not take into account the foundations on and the contexts within which these NAS have been developed, the available knowledge or the perception or status quo of uncertainty within adaptation decision making in these countries; nuances which could be achieved through more in-depth research.
Moreover, in Section 4, we define and use the notion of a priori knowledge, to show that the tackled challenges by the radio community to solve configuration adaptation decision making problems have often the same design space, however they differ by the a priori knowledge they assume available on this design space.
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These findings demonstrate that multiple large-scale brain networks interact dynamically and in a directionally specific manner in different frequency bands to support flexible behavior adaptation during perceptual decision making.
Their application in healthcare for prediction and diagnosis purposes can produce high accuracy results and can be combined with medical knowledge to improve effectiveness, adaptation and transparency of decision making.
However, they lack on-line adaptation capability and transparency in decision making.
Most importantly, this includes having a strong link with national adaptation activities to promote rational decision making using an improved health economic evidence base.
It was also noted that the use of CIDAs would help to enable patients to be more involved in decisions made about their care, hence improving the potential for shared decision making about home adaptations, reducing anxiety, and empowering patients to become more equal partners within the pre-discharge home visits process.
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