Physical Thoughts, Biological Systems – The Application of Modeling Principles to Understanding Biological Systems
In the first chapter, we codified the scientific method as a sequential series of models that first organize description, then explanation, and finally experimental verification in a coherent manner. The accurate and effective coding or mapping of a real system (and its description) onto a formal/mathematically cogent system that correctly serves as an abstract model of the real world is the task of the field of systems science. The progression of inquiry is a knowledge operator that supervises the scientific method such that a systems science modeling step is incorporated at each inquiry step. The ideal outcome of this essential scientific enterprise is that the formal system and its behavior can be compared and found to be invariant with the behavior of the real system that it represents. This last requirement is the experimental essence of systems science itself.