apeiron said:
Ok, so axioms go back in the philosophy bin!
All meta- level discussions are philosophical because that is the place for vague deliberations (as opposed to the crisply taken choices of maths and science).
We are talking about how we know the world. Philosophy is where the vague groping exploration of possibilities take place. Then when it comes to "method", maths is for formalising the modelling and science is for formalising the measurements.
Actually "doing science" of course involves all three. We are in a modelling relation with reality (see Rosen). We start out with vague ideas and impressions and attempt to develop them into a crisp system of models and measurements.
Philosophy gets us started. Then we start to take the choices that swim into view.
Maths is a way of creating definite models. Self-consistent frameworks that clearly, crisply, represent our ideas about causality.
Scientific method then sets out the looping process of measurement, the optimal system for generalising the necessary acts of observation. The apparatus of experiment and hypothesis, etc.
Maths works not because of some platonic magic but because reality is itself a collection of interactions that must settle into emergent patterns. There is a reduction of possibility that takes place "out there". And we are trying to do the same thing in our own minds.
I would argue that so far we have only really been doing half the job with the maths we've produced though.
We have a very well developed mathematics of atomism, a very poor mathematics of systems.
If you study hierarchy theory and other tentative examples of systems maths, they are indeed more "philosophical" - vaguely developed ideas rather than crisply taken choices.
But with chaos theory, tsallis entropy, fractal geometry, renormalisation group and scalefree networks, for example, systems math is starting to emerge in earnest.
The key is the reintroduction of scale into mathematics. Atomistic maths excluded scale. A platonic triangle is a scale-less concept. It could be any size. But a Sierpinski gasket is a triangle with scale. We now have an axis of scale symmetry being represented, a open system or powerlaw realm.
So mathematics works because it is making crisp what was vaguely seen in philosophy. It works because reality is self-organising pattern. It works because it split off the model making issues from the measurement taking issus.
But it's job is far from complete. Atomism is well elaborated. But the field of systems mathematics is just in the process of being born.
How do you you know a prioi what reality is or isn't?
How do you know that reality is a "self collection of interactions" (whatever that means). Whatever that is supposed to measan, isn't that a model - not a very crisp one though - maybe a meaningless one.
Mathematics does not work because it is making crisp (what ever that means) what is vague in philosophy. You do not know why mathematics works. Nobody does.
"The key is the reintroduction of scale into mathematics. Atomistic maths excluded scale." This is meaningless - and how do you know what the key is?
"Scientific method then sets out the looping process of measurement, the optimal system for generalising the necessary acts of observation." What is this supposed to mean?
Science is not a system - it does not generalize observation - "generalizing observation" is an oxymoron.
Chaos theory and fractal math have little influence on scientific research. Both are fads. How then do you know then that these are the right direction of science?
"The key is the reintroduction of scale into mathematics. Atomistic maths excluded scale. A platonic triangle is a scale-less concept. It could be any size. But a Sierpinski gasket is a triangle with scale. We now have an axis of scale symmetry being represented, a open system or power law realm." Ahat is this supposed to mean? Any scientist who heard you say this would smile politely then walk away. Why don't you go to a physics department and try it out on a mathematical physicist?
"Philosophy is where the vague groping exploration of possibilities take place." Not true. What is vague groping? Can you make that more crisp?
"Then when it comes to "method", maths is for formalising the modelling and science is for formalising the measurements." That is wrong. Math is not for formalizing nor is science. Formalizing always occurs after the science and math have already been done. Axioms have little to do with scientific thinking. They are afterthoughts.
'Maths is a way of creating definite models. Self-consistent frameworks that clearly, crisply, represent our ideas about causality. " Causality is not what math studies.In fact ideas of causality have always been an impediment to physics and science has always tried to eliminate causality in order to make progress.
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Math is not a way of creating definite models - models are formal devices - real mathematics is a way of discovering our ideas of space, geometry and number- empirical observation can guide these discoveries but it is not the only source of guidance. What empirical model of reality would you say the theory of Riemann surfaces represents? How about the theory of differentiable structures on manifolds? Which empirical data did the Riemann hypothesis model? - what observations did it make "crisp"?
How about Thom's theory of cobordism of differentiable manifolds? After you explain all of these to me, you can move on to Chern-Simons invariants and then rational homotopy theory/ Oh yeah and maybe you could help me out with which empirical data the theory of Bieberbach groups was designed to model.
Even the general theory of relativity did model model anything new - it was a reconceptualization of our ideas of space. Only after it was discovered was it found to predict certain new data that previous theories did not.
Science develops because people question or ideas of reality not because we model it. The Ptolememaic system was a great model of planetary motion. Yet it was questioned - not for empirical reasons but because people felt that it could not be consistent with the mind of God. When Gallileo said that the ball rolling on an inclined plane would rise to the same height he was discovering an idea of reality not explaining empirical data. In fact, people said to him that he was wrong because the ball did not rise exactly to the same height and the more it rolled back and forth the less it rose until it finally came to a stop. People said that on the contrary this confirmed Aristotle's patently accurate model of reality which was that an object in motion will come to its natural state of rest. the empirically correct model contradicted Gallileo's conclusion. His model was empirically false. Yet he said, 'If God wanted me to be wrong he would have made the ball miss by a mile not by an inch.'