In the functional information hypothesis, high complexity is not the opposite of high entropy, but more of a different way of looking at the probability or phase space of a system to describe its entropic states.
In the functional information hypothesis, high complexity is not the opposite of high entropy, but more of a different way of looking at the probability or phase space of a system to describe its entropic states.