
TL;DR
This paper argues that mathematics is a natural science akin to physics, explaining its effectiveness through a network-based theory of mathematical theory-building rooted in natural regularities.
Contribution
It introduces a novel theory that models mathematical development as a network process based on analogies and regularities, bridging the gap between abstraction and empirical grounding.
Findings
Mathematical theories evolve from natural regularities.
Mathematics is fundamentally a study of regularities within regularities.
Mathematical theories are connected to the natural world through a network structure.
Abstract
In this essay, I argue that mathematics is a natural science---just like physics, chemistry, or biology---and that this can explain the alleged "unreasonable" effectiveness of mathematics in the physical sciences. The main challenge for this view is to explain how mathematical theories can become increasingly abstract and develop their own internal structure, whilst still maintaining an appropriate empirical tether that can explain their later use in physics. In order to address this, I offer a theory of mathematical theory-building based on the idea that human knowledge has the structure of a scale-free network and that abstract mathematical theories arise from a repeated process of replacing strong analogies with new hubs in this network. This allows mathematics to be seen as the study of regularities, within regularities, within ..., within regularities of the natural world. Since…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
