PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Complete Theory of Everything (will be Subjective)
Marcus Hutter
arXiv 2009.

Abstract

The progression of theories suggested for our world, from ego- to geo- to helio-centric models to universe and multiverse theories and beyond, shows one tendency: The size of the described worlds increases, with humans being expelled from their center to ever more remote and random locations. If pushed too far, a potential theory of everything (ToE) is actually more a theory of nothing (ToN). Indeed such theories have already been developed. I show that including observer localization into such theories is necessary and sufficient to avoid this problem. Ockham’s razor is used to develop a quantitative recipe to identify ToEs and distinguish them from ToNs and theories in-between. This precisely shows what the problem is with some recently suggested universal ToEs. The suggested principle is extended to more practical (partial, approximate, probabilistic, parametric) world models (rather than ToEs). Finally, I provide a justification of Ockham’s razor.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:5837
Deposited By:Marcus Hutter
Deposited On:08 March 2010