Skip navigation
Skip navigation

Towards a universal theory of artificial intelligence based on algorithmic probability and sequential decisions

Hutter, Marcus


Decision theory formally solves the problem of rational agents in uncertain worlds if the true environmental probability distribution is known. Solomonoff’s theory of universal induction formally solves the problem of sequence prediction for unknown distributions. We unify both theories and give strong arguments that the resulting universal AIξ model behaves optimally in any computable environment. The major drawback of the AIξ model is that it is uncomputable. To overcome this problem, we...[Show more]

CollectionsANU Research Publications
Date published: 2001
Type: Conference paper
DOI: 10.1007/3-540-44795-4_20


File Description SizeFormat Image
Hutter Towards a Universal Theory of Artificial Intelligence 2001.pdf209.71 kBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator