On chaos control in hierarchical multi-agent systems

The paper is focused on the problems of chaos control in multi-agent hierarchical systems similar to the environment of the realization of automated factory projects. The research is based on a unique database of empirical studies of human faults and mistakes at the design and commissioning of factory automation systems. It is shown that for primary chaos control it is appropriate to use Design Structure Matrix (DSM) technology tools, enabling to describe synergistic relations between all teams' members on the basis of the frequency and amount of information interchange. For further chaos control an effective system is proposed to track and hinder different human shortcomings spreading in the hierarchical teamwork system. As a basis for it an advanced simulation technique, discrete event modelling, is used. The proposed methodology of suppressing the influence of human shortcomings allows us to increase the synergy in teamwork and to substantially reduce the losses of resources at starting up new factories.