Empirically calibrating damage functions and considering
stochasticity when integrated assessment models are used as decision tools.
Not exact matches
Here there are two different parts of the eye which,
when thought about with rational numbers between 0 and 1, show the tendencies towards determinism and
stochasticity that Prof. Sinclair refers to in his hypothesis.
When the system is complex and has also a lot of
stochasticity, the attractors tend to smoothen out, but something similar may remain.
So now I hope everybody understands how confused a discussion can become
when people mix up
stochasticity, randomness and ergodicity.