apeiron
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Ken G said:Maybe one brain "figures out the recipe" for math, while another "figures out the recipe" for foreign languages, or music, or whatever. It doesn't mean these different endeavors are themselves dichotomies, but can be successfully analyzed in terms of a rich enough set of dichotomies to choose from.
True, but this is talking about the divergent variety rather than the convergent deep structure. You do of course have both because what polarities make possible is the emergent spectrum that emerges inbetween (as various mixtures of what gets separated).
Again, you want to argue that models are just arbitrary ideas that we project onto the data. So if my chosen idea just happens to be "dichotomies" then I can go in and carve up some phenomenon in convincing fashion using as many dichotomies as it takes.
I agree that modelling does have an arbitrary, free, basis. We can try whatever works. But then it becomes interesting that only certain ideas seem to work really well, even universally. These ideas look to be the way nature actually works - although we can never "know" that, just observe it to be likely.
Reductionism (that metaphysical mix of atomism, determinism, monadism, mechanicism, local reality, effective causality, etc) is one general idea that works really well.
And then there is the complementary tradition of holism which is about dichotomies, hierarchies, top down causality, indeterminacy, etc. Which works better when it comes time to tell the whole story of course!
Would a dichotomies approach be stronger if all the brain's architectural divisions could be reduced to just a single description? Yes, it would certainly seem less arbitrary (a projection onto the data) and more like the deep structure of the data.
I would start out by saying we shouldn't expect a simple single answer because the brain is a product of both evolution and development. Development is free potential but evolution locks in past history. So the story on brain evolution is a complex interaction between accumulated design and the addition of new possibility (such as by creating new room at the top by expanding the cortex).
But if we step back to the purposes of brains, they are there to make decisions. To make choices. And how can you make a choice unless you have alternatives? And how can you make the most definite possible choices unless the alternatives are dichotomous - reduced to either/or, to a binary yes/no, like retreat/advance, attend/ignore, expected/surprising.
Again, you will probably say that intelligence is defined by having a variety of choices. But as I say, that describes the variety that emerges as a result of the deeper structure - the ability to break the world down by polarities.
My favourite example of the primitiveness of this is the flagella that drives a motile bacterium. Spin one way and the threads tangle, driving the cell forward. The bacterium can follow a chemical gradient, head towards a food source. But then reverse the spin and the threads untangle, the bacterium begins to tumble randomly. So if falling off the scent trail, the bacterium can switch to search or escape mode.
The asymmetry of choice - as determined/random - in a nutshell.
Ken G said:Yes, the power of the yin-yang symbolism again. I agree there is great merit in thinking along those lines. But is it Platonic in the sense that dichotomous juxtaposition is really what is happening, or is that just how we like to think about it?
I agree it is a legitimate question. And the default position will be "all models are the free creations of the human mind". We should be automatically suspicious of any jump from the epistemic to ontic.
But on the other hand, reality must actually have some kind of deep causal structure. It does not seem like an arbitrary bundle of happenings does it? It does seem to have a developmental history, a systemic and patterned materiality. So it is not impossible that our models of its deep structure could be essentially correct.
Ken G said:I have in mind an effect akin to sensitivity to initial conditions in dynamics-- a seemingly small difference is leveraged into an extremely different outcome simply because we don't recognize the significance of the difference.
The butterfly effect is not a good analogy for biological processes because that is dynamics unconstrained (the system is unpredictable even if deterministic because measurement error compounds exponentially).
The whole point of biology (and its use of languages to construct constraints) is that such dynamism is harnessed. Constraints are applied to channel what happens.
There would not be life/mind without this trick of being able to harness dissipation-driven dynamics. So this is why we can say what "math is". It is not some unpredictable consequence of blind evolutionary change, it is instead the very predictable development of the constraint machinery which in fact defines life/mind.
You want to argue that the brain could have evolved any old how. It's just one accident on top of the other. But this is old-style Darwinism (the "modern evolutionary synthesis" of the 1960s). Today you would talk about evo-devo, and this is based on the idea that there are in fact deep structural principles at work. Existence is based on the dissipation of gradients. Life/mind arise as informational structure that locally accelerates the entropification of the Universe.
So there is a deep general principle at work. But then also some happenstance about how things actually work out.
For example, life/mind arose on the back of one kind of language - genes to code for enzymes that could control dynamical chemical cycles. But then H.sapiens stumbled upon actual language - words to control the thoughts that determine our actions.
Was it Platonically inevitable that human grammatical language would arise? Would it have to happen on any planet where some kind of life/mind was happening in sufficient abundance - given enough variety, would some species have to luck into this structural attractor, this pre-existing, ready-waiting, niche?
Personally I would say there is a healthy dose of both - of both random luck and Platonic inevitability. The luck is down to the fact that brain evolution was not headed in that direction. The evolution of an articulate vocal tract - the imposition of a new kind of serial output constraint on vocalisation - looks a pretty chance direction for events to have taken. On the other hand, it was then a very short step for this exaptation to be exploited for symbolic/syntatic purposes. Once there was a species that could chop up a stream of sound into discrete syllables, the machinery for a new level of coding could be used for exactly that.
Ken G said:That is indeed a theme that runs through the different choices in the poll, but again none of those choices make sense in isolation-- math can't be a Platonic truth any more than a map can be a territory, but similarly a map doesn't mean anything unless there is a territory to map in the first place.
We seem to agree then. Because I am saying that maths is not monadically anyone kind of thing. Which is what the poll wants to make it.
And definitely this is all about modelling.
But then, modelling is dichotomous - not just in terms of the relationship between the map and the terrain, but even the map itself has the tension of an internal division.
Our mental mapping of the world divides into ideas and impressions, the theories or formal constructs that are a general inductive understanding, and then the measurements, or expectations, or predictions, that are the local deductive particulars.
Measurement is often claimed to be the objective part of the process of modelling, but of course it always remains some mind's particular impression (such as a reading on a dial, a number on a counter, etc). I know you favour the Copenhagen stance on these things!
So again, where does math stand in all this? It is caught up in the general business of modelling, so it is fictional, intuitive, constructive, etc, foundationally. But at the same time, it is trying to stand at one extreme pole of the modelling process. It is trying to go and stand over at the end of our most general possible ideas. It is trying to be a pure description of form. And then to the extent this division that emerges in our mapping is also true of reality, of the terrain, then maths is going to end up "Platonic".
As I say, this may yet be telling only half the story. But that can only be clear once the foundations of maths is actually clarified.
Ken G said:But are the interactions of the world really self-constraining as you imagine, or is that just how you make sense of them? We must not beg the question by building the Platonism right in from the start.
It should be clear by now that I would only argue for Platonism (the fact that reality has a deep structure which our modelling can hope to map) to the extent that observation appears to confirm it.
Ken G said:Yes, another dichotomy that is actually a unity-- the axiom/theorem dichotomy, but axioms mean nothing until they are used to make theorems that allow us to judge the axioms, and theorems mean nothing independently of the axioms that lead to them. It's material/form once again-- the axioms are like the Platonic forms, and their theorems are like the material, the flesh on the axiom's bones. We can't claim that if the axioms are Platonic, then so are the theorems they inevitably lead to, because we can only judge the truth of the axioms by their theorems, since attributing meaning to an axiom is a type of theorem, or consequence, of that axiom. The structure falls apart unless it is anchored at both the form and material end, so we cannot say that math is accessing truth of forms that are independent of the materials, nor can we say that math is a study of the materials without having underlying forms to axiomatize those materials.
Yes, I agree. You seem to have me now arguing for Platonic fundamentalism when I want to make it plain that Platonism can "exist" only as one of a pair of complementary bounds.
So maths is extreme because it goes as far towards Platonic rationalism as we can imagine going. Which is good because that then makes the other side of the equation, the need to measure the local material particulars of the world, a matchingly precise task.
The legitimacy of the maths is wholly dependent on empiricism as a result. If triangles in flat Euclidean space do not have angles that sum to pi, then the formal model is screwed.
Ken G said:for math is not the sound of one hand clapping, if you will.
Bingo, that's why I cannot feel the Platonic picture can provide the whole story.
Yes, maths goes to one extreme - tries to be the one hand clapping. And this works because it creates its own complementary extreme. It creates with equal decisiveness the idea of a local, particular, material measurement. The other hand needed to make some noise.
The maths comes to seem like it is "all subjective". It is a realm of ideal forms discovered rationally. And the measurements likewise come to seem "all objective". They are the brute material facts that exist out in the world.
Yet really, both formalised models and material measurements are only ever in our heads as part of the dichotomy of mapping.
This is just a restatement of Copehagenism (which followed from Bohr's shocked need to deal with a world that actually appears foundationally dichotomous - always at root complementary in nature).
The problem with the Copenhagen interpretation is then that once the simple mechanical view of causality had been shown to fail (at the extremes of its range), the choice was to reject then any chance of a "true" model of causality. The observation were whatever they were within whatever the framework of observation happened to be. It was all taken to be quite arbitrary, with no possibility of systematisation.
Yet in my view, a constraints-based approach to causality fits QM like a glove. Asking questions of reality can reduce its inherent uncertainty to the point it seems very certain - but cannot in principle eliminate all uncertainty.
You can see how these themes keep repeating. We spend so much time trying to disentangle epistemology from ontology - to form that crisp foundational dichotomy between map and terrain. And then we find that the two seem in fact deeply entangled.
In the realm of our minds, the maps are dichotomised into "subjective" rational forms and "objective" material measurements.
Then the bigger shock (perhaps). Out in the world, the terrain is also ontically dichotomised into its "subjective" forms and "objective" materials. Or rather, the self-constructing causality of global constraints in dynamic interaction with local degrees of freedom. A Universe that decoheres itself into structured being via some kind of semiotic or "self-observation".
So this would be where we differ.
I think we can develop a legitimate model of reality in which the ontology involves an epistemic aspect - the necessary decohering observer is made part of the entire system (in the guise of top-down constraint, the contextual information, a generalised environment). We can hope to make a map of the entire process.
But you would defend the more agnostic Copenhagen position where there is a map, and there is a world, and we can never say much more except that epistemology and ontology are fundamentally divided in this fashion. So the default philosophy is that modelling-associated activities like maths are arbitrary at the foundational level, even if useful in a pragmatic fashion.
As world views, we thus have naive reductionist realism, agnostic Copenhagenism, and constraints-based systems thinking.
I agree Copenhagenism is the correct default position - the place you have to retreat back to under pressure. But naive realism is a highly pragmatic choice. It works in the middle ground where humans mostly live. And systems thinking holds out the hope of getting "closer to the ultimate truth", to seeing the whole of reality within the one model.
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