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The third misapprehension - that the ultimate goal of modeling is to generate hypotheses - is often promoted by modelers of biology themselves.
In particular, there seems to be a prevailing view that modeling activities are dramatically accelerating in biology; that the primary use of modeling is to predict experimental outcomes that then validate or invalidate them; and that the overall goal of modeling is to generate testable hypotheses.
An alternative to numerical modeling is to use a semi-analytical model.
One important factor in accessibility modeling is to estimate the traveling speed on different landscape entities.
The first step in modeling is to define the behaviors one wants to understand better.
The best way to understand system-level modeling is to model systems.
The objective of the associated numerical modeling is to supplement the experimental results.
Its use with behavior modeling is to capture and compare the results of a potentially large solution space.
The purpose of security event modeling is to format the events from different event sources to facilitate subsequent processing.
The objective of paleoclimate modeling is to quantify the behavior and variations of the components that describe the climate system.
Another important function of the modeling is to provide the engine designers with the most important guidelines.
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