Answer:
Alison won't wear her blue dress if she <u><em>does not find</em></u> blue shoes.
If you practice the Conditionals, you <u><em>will know</em></u> them perfectly.
Explanation:
Conditionals are statements or sentences that describe a certain condition and the results. In conditionals, the "if" clause tells us the condition, and depending on the position of the "if clause", a comma is used.
The given sentences are rewritten as below-
Alison won't wear her blue dress if she <u><em>does not find</em></u> blue shoes.
If you practice the Conditionals, you <u><em>will know</em></u> them perfectly.
In this song, Dylan repeats the lines "Take the rag away from your face / Now ain't the time for your tears."
He uses these lines throughout the song in order to tell the listener that *this* isn't what they should be upset about. Don't get upset that this woman was murdered. Don't get upset that she was only a maid. Now isn't the time to get upset about these things.
By the end of the song, however, this line changes. It now becomes "Bury the rag deep in your face/ For now's the time for your tears." Dylan says that now is the time to cry because justice was not served. Zanzinger only got six months for the murder of an innocent woman.
Therefore, the repetition of these lines allows Dylan to indicate the true tragedy of this story.
The option I am going to consider among the above attributes given is deterministic vs. stochastic and I think deterministic model would prove harder to design an intelligent agent.
<h3>What are the Comparison between Stochastic and Deterministic Models?</h3>
A deterministic system is known to be non-stochastic in nature. It is one that is said to be static and is not subject to alterations.
While a stochastic system is said to be probabilistic in nature as it is one that can be altered or change using calculable probability.
Note also that deterministic models brings about the same exact results for a given set of inputs but stochastic models are known to often do the opposite as it shows or depict data and predicts outcomes that brings about some levels of randomness.
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Explanation:
it is a loss if I don't brought I don't loss my the rupee the car is small variety
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