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In the case of additional instances, one can purchase these all at once, or in batches [15, 16].
In some instances, one can show that a particular untyped realizability interpretation matches a particular typed one, in the sense that they give the same set of realizable formulae.
In these instances, one can safely assume that network implantation conflicts caused by HGT have been ultimately solved.
In these instances one can follow the empirical path from [ 16], to see whether the more realistic models still approximate the behavior of DN and AM.
By calculating very many of such (random) instances one can then approximate the trajectory of the probability density function of each chemical species and calculate relevant time-dependent statistics, such as the mean value or covariances.
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The method is amenable to automatic computation based on numerical optimization, and for instance, one can thus introduce performance objectives such as instantaneous control effort minimization into the design.
For instance, one can also generate stochastic models on the basis of the derived output subgraphs.
On a smaller scale, such as within physics for instance, one can find semiclassical models in quantum physics or models developed around phenomena where the limiting reduction relations are singular or catastrophic (caustic optics and quantum chaos) (Cat 1998; Batterman 2002; Belot 2005).
For instance, one can use tools surveyed in this work to search for experts on a specific topic or to visualize search results in networks.
For instance, one can consider what one would or should do in a life-threatening situation without one's life actually being in danger.
Since one can carefully assess the evidence for a prospective belief and still end up believing something false (a routine occurrence in academic inquiry, for instance), one can be ignorant in the first sense without being ignorant in the second.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com