Performance bounds for hierarchical systems under partial dynamic information

This paper discusses a general approach to obtain optimum performance bounds for N+1(>2)-person deterministic decision problems with multi levels of hierarchy and under partial dynamic information. Both cooperative and noncooperative modes of decision making are considered at the lower levels of hierarchy, and in each case it is shown that the optimum performance of the decision maker at the top of the hierarchy can be obtained by solving a sequence of open-loop (static) optimization problems.