Confirming Mathematical Conjectures by Analogy
Francesco Nappo, Nicol\`o Cangiotti, Caterina Sisti

TL;DR
This paper explores how analogy can be used to confirm mathematical conjectures, distinguishing between incremental and non-incremental forms, and proposing a hybrid Bayesian framework for understanding this process in pure mathematics.
Contribution
It introduces a novel hybrid framework combining Bayesian confirmation theory with non-incremental analogy-based reasoning in pure mathematics.
Findings
Distinction between incremental and non-incremental confirmation by analogy
Bayesian account of incremental confirmation
Role of analogy in informing prior credences without new evidence
Abstract
Analogy has received attention as a form of inductive reasoning in the empirical sciences. However, its role in pure mathematics has received less consideration. This paper provides an account of how an analogy with a more familiar mathematical domain can contribute to the confirmation of a mathematical conjecture. By reference to case-studies, we propose a distinction between an incremental and a non-incremental form of confirmation by mathematical analogy. We offer an account of the former within the popular framework of Bayesian confirmation theory. As for the non-incremental notion, we defend its role in rationally informing the prior credences of mathematicians in those circumstances in which no new mathematical evidence is introduced. The resulting 'hybrid' framework captures many important aspects of the use of analogical inference in the realm of pure mathematics.
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
TopicsPhilosophy and History of Science · Bayesian Modeling and Causal Inference · Biomedical Text Mining and Ontologies
