SSJ uses RandomStreams to generate uniform variates (real numbers) over the interval (0,1).
Seed is array of 6 integers, that provides initial state for RandomStreams. It is starting point for computing.
As initial seed for RandomStreams SSJ library uses vector [0..5]. This ensures,
that repetition of number generation returns same values. For test diversity we need tool that will provide different,
but repeatable results.