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Experimental results confirm that our approach has very promising performance.
This approach has very well defined theoretical properties and is predicted to give superior performance relative to alternatives when applied to physical processes.
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As estimating tools, however, the coefficients themselves and the regression approach have very beneficial roles in design of experiments for both laboratory and field settings.
Thus this approach had very little specificity in terms of ECM interactions.
Unfortunately, these approaches have very high message overheads.
It turns out that both approaches have very nice nonmonotonic features.
Still, the emergence of experimental approaches had very little to say about consciousness per se, though Spalding's work can be seen as a contribution to the discussion about instinct and reason.
Although many of the model-based approaches have very promising results, they often use the UABSs as a communication relay node, rather than providing directly service to the end user [5 7].
Finally, the article stresses the importance of the enactive approach in the design of agents, understanding that previous approaches have very different cognitive architectures and that a prototypical model of enactive cognitive architecture is one of the largest challenges today.
Here we see that both modeling approaches had very similar specificity, but down-sampling had higher sensitivity for both uniqueness thresholds.
Both empirical approaches had very little power to detect selection when selection occurred at some distance to the region of interest (Table 4).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com