  Similar to intelligent multicellular neural networks controlling human
brains, even single cells surprisingly are able to make intelligent decisions
to classify several external stimuli or to associate them. This happens because
of the fact that gene regulatory networks can perform as perceptrons, simple
intelligent schemes known from studies on Artificial Intelligence. We study the
role of genetic noise in intelligent decision making at the genetic level and
show that noise can play a constructive role helping cells to make a proper
decision. We show this using the example of a simple genetic classifier able to
classify two external stimuli.
