Sentence examples for adaptive reasoning from inspiring English sources

Having been nurtured on a steady diet of adaptive reasoning during my education, I found Arlin Stoltzfus's description refreshing and convincing, and I have been a fan of neutral pathways towards complexity ever since.

Our study suggests that for this information limited and simulated task, nurses are able to cope with a certain level of time pressure by employing adaptive reasoning strategies that result in considerable savings in cognitive effort without compromising judgement accuracy.

(2) Is the use of non-adaptive reasoning patterns associated with greater knowledge of natural selection, or with fewer naive ideas?

Whether these students needed more exposure to instruction about non-adaptive reasoning before integrating it into their mental frameworks of evolution remains to be determined.

Interestingly, a small number of students from each group displayed mixed models while also incorporating non-adaptive reasoning into their explanations (ACORNS: two from the majors, two from the advanced majors; Interviews: one from the majors, four from the advanced majors) (Fig. 3).

When students did use non-adaptive factors in their explanatory models of evolution, they either used them within a mixed model of reasoning, or they used them as competing mechanisms of evolutionary change (i.e., in an expert-like model of adaptive vs. non-adaptive reasoning; Fig. 3).

This question motivated our explorations of biology students' non-adaptive and adaptive evolutionary reasoning patterns.

Currently, the consistency principle is criticized as not being adequate for the representation of scenarios of complex adaptive systems, reasoning with the argumentations from transition research that inconsistencies point at dynamics and change.9 This debate shifts the focus of attention towards (slightly, but not completely) inconsistent scenarios.

The model of the system was established using neural network models and the adaptive neural network fuzzy reasoning algorithm.

For the variation of operating condition and slowly varying dynamics, an intelligent control scheme has been developed by integrating fuzzy reasoning with adaptive control and auto-tuning techniques.

This bias enhances the selection and efficient execution of good behavioural choices, and is thought to underlie adaptive goal-directed activity, reasoning and decision-making in real life social contexts.