The Unreasonable Effectiveness of Mathematics
dartmouth.edu
dartmouth.edu
I'm only around 55% of the way through (according to my scrollbar --- and thank you Readability!) but it's an incredibly interesting read. It's very lengthy, but I really advise taking the time to look it over. It really tickles those brain cells. Thus far, I'm not seeing anything "new" in this article, but seeing all these incredible things expressed and summarized up close is amazing.
It's a little bit like mathematicians invent little "chains of reasoning" rather than "mathematics", and that these chains are interesting and useful; even if their original assumptions turns out to be incorrect, the reasoning is still valid. In the marketplace/ecosystem of mathematics, people then choose the ones that they find most useful and/or interesting.
I love the thought that when we meet aliens, they have utterly different mathematics from us, so it reveals how parochial our particular toolbox is. This has actually happened, in a sense, with Chinese mathematics. Apparently, their approach to "proof" was algorithmic rather than declarative - not just a different toolbox, but a different kind of toolbox.
i.e., if it turns out ideas and "green" operate in the same locations in the brain, and if you exhibit anger + sleep patterns of thought while brainstorming.
eg later he says:
>"Is it not remarkable that 6 sheep plus 7 sheep make 13 sheep; that 6 stones plus 7 stones make 13 stones? Is it not a miracle that the universe is so constructed that such a simple abstraction as a number is possible? To me this is one of the strongest examples of the unreasonable effectiveness of mathematics. Indeed, l find it both strange and unexplainable. "
That makes absolutely no sense. You might as well wonder why the word "wheel" describes wheels. Or wonder why wheels exist. These are empirical facts.
Well neither of those two deal with counting... We already know (historically, empirically) that counting & manipulating 'stuff' is what works for making applicable theories. Mathematical abstraction preserves those "traits", & makes the object more general - ie more flexible. Chess for example is about counting, but it's not explicitly written in a form that allows you to drop it in a theory.
I think the important thing is the traits aren't arbitrary. They were forced on people, eg you need to learn counting if you want to keep track of your goats.
Personally, I find it rather remarkable that a pattern observed from pebbles, sheep or apples (i.e., 6 + 7 = 13) should hold for any set of discrete objects anywhere in the universe. It could well have been that, say, 1 apple + 1 apple = 2.5 apples, but 1 kitten + 1 kitten = 1.5 kittens.
Cool article, though.
But if you are interested in philosophy, then you should know that the philosopher often starts by wondering about something that most sane people take for granted. Case in point, some people do wonder why the word "wheel" describes wheels. There are tons of papers and books about philosophy of language.
Others ask why wheels exist, what is a wheel, or whether do they really exist at all. You can only be sure that the existence of wheels is an "empirical fact" after you have examined these questions. After all, "empirical fact" is a philosophical term.
Incidentally, "6 sheep + 7 sheep = 13 sheep" is not an empirical fact.
Counting is defined by objects, and 13 is the sum of 6 and 7. Indeed it is an empirical fact in as much as it has a physical interpretation.
In fact "simple" mathematics are not simple at all by any objective measure. Starting with any truly formal system, you need a stupendous number of deductions to get to things like elementary laws of arithmetic, or basic plane geometry. Mathematical proofs are not formal proofs--they are instructions for our brains. Evolution made the relevant parts of our brains the same, so same instructions lead to same results. That's why there's never any argument over whether a proof is correct, once a few people got to study it in detail. This also explains Hamming's observation that when proofs turn out to be "wrong" after math has evolved a bit, theorems are still usually correct. We find a new, better route to the same place in our brain, and recognize the hazards of the old route, now deprecated.
Okay, here is the key bit: if evolution made the relevant parts of our brains the same, that means it has arrived at a maximum, or at least a local maximum. What is the nature of this maximum? Physiologically, there are constraints on the amount of brain circuity our body can maintain. Brains consume a lot of energy, take up space, etc. So naturally, evolution ended up with a design where the same circuity can serve the greatest possible number of functions.
Of course, evolution only concerns itself with those functions relevant to our survival and reproduction. But there is nothing niche about those goals. If some general pattern occurs often in our quest for survival, then it likely occurs often in other quests that evolution never knew about--like building airplanes.
I'm guessing platonism/formalism were popular in arguing against other ways of understanding the world, like folk science, authoritarianism and mysticism. (I'm not equating the last three.) Maybe also as a foundation myth for professional mathematics.
I think this kind of intent requires some seemingly superfluous amount of wording to carry a nontrivial flow of narrative to be persuasive if to avoid dullness in expression.
Some math was designed to be useful.
Science is by definition those practical problems to which math can be applied.
He still doesn't know.
Very disappointing.
this is confusing because what he is talking about is -counting- not mathematics -mathematics- is an academic field that may include -counting- as one of its areas of study -but- it is confusing to reduce mathematics to counting