Biological Computing From Microscopic to Macroscopic Evolution

Xiaofeng Ding, Missouri University of Science and Technology

Abstract

A unified theory from microscopic to macroscopic DNA-based biological systems is explained in terms of the rule components used when the system size is increased. Even though the eight female rules in each ruleset are provided with an equal probability of the computation-state outcomes, the initial ensemble of the computation states will exponentially settle into one dominant rule that supports the nutrition needed for growth. The remaining seven rules form into two minority groups to provide the biological characteristics of the system's growth from a micro to macroscopic evolution. The object of this study is to prove that such a theory exists and is coherent within its boundaries. The proving process involves computing a simulation to compare and set groups between the results. From there, the difference between each computation result can be labeled and used to confirm that there is indeed a relationship between microscopic and macroscopic DNA-based biological systems.