  Time correlated fluctuations interacting with a spatial asymmetry potential
are sufficient conditions to give rise to transport of Brownian particles. The
transfer of information coming from the nonequilibrium bath, viewed as a source
of negentropy, give rise to the correlated noise. The algorithmic complexity of
an object provides a means of quantitating its information contents. The
Kolmogorov information entropy or algorithmic complexity is investigated in
order to quantitate the transfer of information that occurs in computational
models showing noise induced transport. The complexity is measured in terms of
the average number of bits per time unit necessary to specify the sequence
generated by the system.
