This paper considers evolutionary methods of symbolic regression for the creation of
artificial intelligence of robotic systems.
CONTACT :
Methods of symbolic regression are reviewed
and the features of their application to the solution of the problem of
synthesis of control of robotic systems are indicated.
The measure of the complexity of artificial
intelligence is determined and the advantage of using the principle of small
variations of the basic solution are shown while creating intelligent control
systems.
A method of variational analytic programming
is described and an example of its use for the synthesis of intellectual
control is given.
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