Leibniz boasted that he didn't need models in order to do mathematics.
Using direct connection between the learning objects universal ontology based and the evaluation tool have many advantage as we don't need model answers in POQ type and the student can use any correct theorem in her/his answer.
In this paper, an alternative approach is proposed that does not need precise models except an estimate of the discrete time delay of the plant.
One important corollary is that we do not need network models that are intrinsically noisy.
(In other words, once his problem is solved, Koonin does not need alternative models to evolutionary thinking anymore).
Thus we do not need to model those algorithms in our simulation but to focus on the proposed threshold-based SNR scheduler.
It does not need a model of its environment and can be used online.
The proposed controller does not need system model or desired response and can effectively handle disturbances in continuous state-action space problems.
Our controller requires to know only the parts of the robot on which it is desirable to make contact and does not need a model of the environment besides the robot itself.
We do not need to model several wagons per vehicle, nor even several doors, since these are just scalings of the basic case of one door per vehicle.
