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One kind of temporal reasoning is temporal projection the computation of the consequences of a set of events.
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Fuzzy logic models are naturally robust with respect to noise and variation in system parameters, but allow computation of logical consequences of complex system dynamics with imprecise variables.
The choice of MCMC rejuvenation has interesting practical consequences as the computation of the acceptance ratio only requires to compute the posterior probability (11) for the proposed sequence (a^{star }_{1:i}) while our technique is based on the computation of (11) for all combinations of sequences (left (a^{k}_{1:i-1}right)_{1le k le N}) and states a i ∈{1,…,J}.
These results have significant consequences for computation of the criticality of the Hopf bifurcation for (17).
As a consequence, the computation of the watermarking LUT in (5) may require a very large projection matrix (mathbb {G}).
A probabilistic framework is presented for designing and analyzing existing CA algorithms proposed in literature, enabling on-line computation of the risk for faulty intervention and consequence of different actions.
As a consequence, a formal computation of the number of subjects required in follow-up wasn't performed.
This is the question of how to compute the consequences of an action without the computation having to range over the action's non-effects.
And what of the consequences?
But what of the consequences?
Think of the consequences.
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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