Simulation of science 05/20/16
As we have discussed about complex systems before, much of the natural world can not be predicted using simple mechanistic equations, but requires more complex theories instead. Now one may ask, how is it possible for scientists to utilize such complex theories? The answer lies in the fact that many scientists now a days use something called a simulation to control those systems. By recreating the theories as a computer model, scientists can be granted real time control of a particular situation. Simulations permeate every field of science, weather it be solar systems for astrophysics or earth systems in geology.
Complex systems 05/19/16
Anyone who has ever studied and lower division mathematics and physical science is probably familiar with linear systems, But what happens if we branch into more complex Nonlinear systems? Over here arises a problem, how can model a system of such great complexity that are found in fields ranging from Physics to economics to computer science to sociology? Through the introduction of complex systems, we get a paradigm shift in our epistemology. Complex systems take a statistical approach contrary to the mechanistic modeling approaches of renaissance era science, by including variables of all kinds to make one large cohesive system.