Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

(Non-)equivalence of universal priors

Loading...
Thumbnail Image

Date

Authors

Wood, Ian
Sunehag, Peter
Hutter, Marcus

Journal Title

Journal ISSN

Volume Title

Publisher

Springer Verlag

Access Statement

Research Projects

Organizational Units

Journal Issue

Abstract

Ray Solomonoff invented the notion of universal induction featuring an aptly termed "universal" prior probability function over all possible computable environments [9]. The essential property of this prior was its ability to dominate all other such priors. Later, Levin introduced another construction - a mixture of all possible priors or "universal mixture"[12]. These priors are well known to be equivalent up to multiplicative constants. Here, we seek to clarify further the relationships between these three characterisations of a universal prior (Solomonoff's, universal mixtures, and universally dominant priors). We see that the the constructions of Solomonoff and Levin define an identical class of priors, while the class of universally dominant priors is strictly larger. We provide some characterisation of the discrepancy.

Description

Keywords

Citation

Source

Book Title

Algorithmic Probability and Friends: Bayesian Prediction and Artificial Intelligence - Papers from the Ray Solomonoff 85th Memorial Conference

Entity type

Publication

Access Statement

License Rights

Restricted until