Advancements in Research Mathematics through AI: A Framework for Conjecturing
Randy Davila

TL;DR
This paper introduces a framework that enables computers to automatically generate meaningful and elegant mathematical conjectures, potentially transforming research practices in mathematics.
Contribution
It presents a novel framework for computer-assisted conjecture generation, demonstrated through evidence of producing publishable and surprising mathematical results.
Findings
Framework successfully generates conjectures aligned with mathematical literature
Evidence shows generated conjectures can be publishable research
The approach inspires further development of advanced conjecturing techniques
Abstract
In the words of the esteemed mathematician Paul Erd\"os, the mathematician's task is to \emph{prove and conjecture}. These two processes form the bedrock of all mathematical endeavours, and in the recent years, the mathematical community has increasingly sought the assistance of computers to bolster these tasks. This paper is a testament to that pursuit; it presents a robust framework enabling a computer to automatically generate conjectures - particularly those conjectures that mathematicians might deem substantial and elegant. More specifically, we outline our framework and provide evidence in the mathematical literature demonstrating its use in generating publishable research and surprising mathematics. We suspect our simple description of computer-assisted mathematical conjecturing will catalyze further research into this area and encourage the development of more advanced…
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.
Taxonomy
TopicsComputability, Logic, AI Algorithms
