Life cycles and competition in modelling of artificial and biological control system

The modelling of control loops within functioning biological organisms is a prerequisite for a successful treatment or therapy development and implementation in biological systems. Similarities in emergence and sequential lifecycle steps of human made artificial control systems (ACS) and natural biological control systems (BCS) in multigeneration scale are analysed and compared to extract additional knowledge for modelling procedures. The development of ACS includes: 1) definition of targets, 2) design of control system, 3) execution of control system, 4) behaviour of technical object as observable result, 5) feedback to the design. The development of BCS has appropriate steps in different execution and includes: 1) predefined targets (survival and reproduction), 2) genome (as design of control system), 3) cells and organism (as execution of biological control system), 4) behaviour of biological object as observable result, 5) feedback to genome (as design of control system). The differences and common features in execution principles of each step in both lifecycles are discussed. Consequences of ACS and BCS lifecycle joining in case of artificial control of biological system are discussed. Perspectives of Systems Biology as emerging science about modelling of biological processes regarding modelling of BCS are mentioned.