Analytical complexity and errors of solving control problems for organizational and technical systems

This paper suggests an estimation procedure for the analytical complexity and errors of solving control problems for organizational and technical systems using uniform search. It is demonstrated that, first, attempts to reduce errors cause complexity rise; second, complexity goes down as the number of levels in a control hierarchy is increased (under decomposition of control problems); and third, errors and complexity are natural restrictors for the growth of organizational hierarchies and application of complex control mechanisms as well as stimulate the choice of typical solutions (patterns).