The need is the possible desire for reproducible results, which may for example come from trying to debug your program, or of course from trying to redo what it does:
These two results we will "never" reproduce as I just asked for something "random":
R> sample(LETTERS, 5)
[1] "K" "N" "R" "Z" "G"
R> sample(LETTERS, 5)
[1] "L" "P" "J" "E" "D"
These two, however, are identical because I set the seed:
R> set.seed(42); sample(LETTERS, 5)
[1] "X" "Z" "G" "T" "O"
R> set.seed(42); sample(LETTERS, 5)
[1] "X" "Z" "G" "T" "O"
R>
There is vast literature on all that; Wikipedia is a good start. In essence, these RNGs are called Pseudo Random Number Generators because they are in fact fully algorithmic: given the same seed, you get the same sequence. And that is a feature and not a bug.
与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…