Generative mechanism of emergent properties observed with the primitive evolutional phenomena by immunotic recognition

This paper deals with the maintenance and generation of the self-system, and how these mechanism are drived from evolutionary behavior. Natural living systems consist of many components that interact though some kind of exchange of forces or information. In addition to these internal interactions, the system may be driven by some external force: cell affinity by electronic or magnetic field; symbiotic behavior; environmental change etc. The system will evolve in time under the influence of external driving forces and internal interaction forces, assuming that we can break the system up into internal and external components in an unproblematic way. Is there some simplifying mechanism that produces a typical behavior shared by large classes of systems, or does the behavior always depend crucially on the details of each system? In order to examine the complex evolutionary processes of a living system, we propose the origin of the self-system and evolutionary complexity by a system model of primitive immunotic functions. The systems are complex in the sense that no single characteristic event size exists; there is no single time or length scale that controls the temporal evolution of living organisms. Although the dynamical response of the system is complex, the simplifying aspect is that the statistical properties are described by simple power laws and information correlations. Moreover, some of the exponents may be identical for systems that appear to be different from the microscopic and macroscopic perspectives