In principle determination of generic priors
Cael L. Hasse

TL;DR
This paper extends probability theory using propositional logic and symmetry principles to allow for the determination of any probability, removing the need for the principle of indifference and enabling flexible assumptions about possibility spaces.
Contribution
It introduces a method to determine generic priors through propositional logic and symmetry, eliminating the principle of indifference and accommodating unknown possibility space sizes.
Findings
Probability can be determined using propositional logic and symmetry.
The principle of indifference becomes combinatoric, not fundamental.
Assumptions about possibility spaces can be made without specifying their size.
Abstract
Probability theory as extended logic is completed such that essentially any probability may be determined. This is done by considering propositional logic (as opposed to predicate logic) as syntactically suffcient and imposing a symmetry from propositional logic. It is shown how the notions of `possibility' and `property' may be suffciently represented in propositional logic such that 1) the principle of indifference drops out and becomes essentially combinatoric in nature and 2) one may appropriately represent assumptions where one assumes there is a space of possibilities but does not assume the size of the space.
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
TopicsLogic, Reasoning, and Knowledge
