Modeling Ecosystems

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Full Title

Modeling of a system that is under constant change creates challenges that not not well understood.

Introduction

Call it Induction, Correlation, Simulation or Modeling, the basic rule is to start with a system at equilibrium or Homeostasis so that the math is not too difficult. But real systems are never at equilibrium, those are all figments of the physicist's mind. Even when an equilibrium can be achieved in a laboratory, the question is still present. What exactly are we comparing reality to? Or, in other words, are we discussion auto- corelation or cross-correlation? Is the system self-similar or model of other other physical variable that might be nothing like. For example physicists equate black-holes with information theory or gas particles.[1] But philosophers think the physicists might be all wrong about that.[2]

Dynamic Systems

References

  1. Marco Tavora, Black Hole Entropy and the Laws of Thermodynamics The Remarkable Similarities Between the Black Holes Mechanics and Laws of Thermodynamics (2020-04-11( Medium https://medium.com/cantors-paradise/black-hole-entropy-and-the-laws-of-thermodynamics-d85fd5d5cce2
  2. Craig Callender, quoted by Brendan Z. Foster Are We All Wrong About Black Holes? (2020-09-05) quantamagazine.org/craig-callender-are-we-all-wrong-about-black-holes-20190905/