Can an information based science do analysis, prediction, or cosmology? How far can we get without invoking rules, principles or laws or mathematical analysis.. Consider the rollbar problem –does the rollbar fail on ground contact?. Contemporary multiphysics- FEA computes stresses on an itinerative basis using geometric constraints mechanical principles and kinematics. Can I get the same results without mathematical analysis?
Engineering issues can always ((?)–what about space craft?) be resolved by testing, indeed the point of modern simulation techniques is ultimately to eliminate testing. But I could test until I got close enough from some point of view. Can I adequately determine performance without mathematical analysis however? How much testing would I have to do to establish performance on the basis of comparative results?
An information based epistemic technology comparable to our science and engineering would have to know something about the properties of materials. This could be gotten experimentally, but how do you normalize it ? E.g., how do you get something like our nominal tensile strength numbers in pounds per square inch. You could adopt a particular sample as a norm or standard unit and work from that- scale up or down. (Note this systems information is not limited to the visually apparent- it has chemical knowledge/information extraction techniques also or it can’t do much steel metallurgy.)
What’s the information based alternative to itinerative mathematical analysis? It probably depends on the required level of accuracy or certainty. If were smart we can do a worse case scenario. Proof it doesn’t fail (e.g., exhibit plastic hinge failure ) in the most difficult case and you have a successful design. But I still want to optimize- so I work backwards, reducing weight and cost. Most engineering can be done this way. Analysis is more an economic consideration than an epistemic one in applied science. The “understanding” aspect is psychological. Why can’t my understanding be based on countless experiments and observations?
Still, analysis is quicker and more cost efficient, but this doesn’t mean epistemic exclusivity.
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