Difference between revisions of "Modeling Ecosystems"
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Modeling of a system that is under constant change creates challenges that not not well understood. | Modeling of a system that is under constant change creates challenges that not not well understood. | ||
==Introduction== | ==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? | + | 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. |
==Dynamic Systems== | ==Dynamic Systems== | ||
Revision as of 13:15, 27 September 2020
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.
