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The risks of relying on simple models are heightened by investors' desire to increase their leverage by playing with borrowed money.
Computationally simple models are vital for exploitation.
To this end, simple models are considered.
Simple models are necessary for real time control purposes.
Simple models are dominating for control design in industrial applications.
In this way, accurate but simple models are privileged in the evolution.
Similar(25)
The basic idea behind the simple models is sketched in Figure 6.
The "macro micro", "macro", "micro" and "simple" models were all run for 50 ASReml runs.
However, two complexities to this simple model are introduced by our results.
The simplest models are Kin selection models (Hamilton 1964).
To investigate to which extent simpler models are able to describe the data we consider a number of alternatives.
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