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 quantifying its information co
ntents. The Kolmogorov information entropy or algorithmic complexity is inv
estigated in order to quantify the transfer of information that occurs in c
omputational models showing noise induced transport. The complexity is meas
ured in terms of the average number of bits per time unit necessary to spec
ify the sequence generated by the system. (C) 1999 Elsevier Science B.V. Al
l rights reserved.