On the organization level structure of the hierarchical intelligent machine
Jung–Min Yang, Jong-Hwan Kim · 2002
A novel structure of the organization level of the hierarchical intelligent machine is proposed. The proposed model has the ability to search complete activities by learning without referring to the knowledge base of the incompatible event pairs. Also it has fault tolerant capability by using directly a performance measure from low levels as a probability. Application of the novel structure to a simple mobile robot organization problem is considered to demonstrate its effectiveness by computer simulations.