  Emergence, optimization and stability of a motor-like motion in a fluctuating
environment are analyzed. The emergence of motion is shown to be a general
phenomenon. A motor converges to the state with the minimum of effective
temperature and with the corresponding minimum in the rate of conformation
changes similarly as some stochastic processes converge to the states with
minimum diffusion activity. This mechanism is important to bacterial foraging
(chemotaxis). This work, therefore, raises an analogy between chemotaxis and
the emergence of living-like systems. The implications include the deviation of
stable natural or artificial machines from the minimum entropy production
principle, with a novel self-assembly mechanism for the emergence of the first
molecular motors and for mass fabrication of the future nanodevices.
