A Computer Scientist's View of Life, the Universe, and Everything

TL;DR

This paper explores the computability of the universe using Kolmogorov complexity, discussing randomness, life, and learning in the context of possible universes and their information requirements.

Contribution

It applies Kolmogorov complexity theory to analyze the universe's computability and discusses implications for randomness, life, and learning.

Findings

Computing all possible universes may be more efficient than computing just ours.

The universe's randomness can be perceived or true, affecting its complexity.

Insights into how life and learning relate to universe computability.

Abstract

Is the universe computable? If so, it may be much cheaper in terms of information requirements to compute all computable universes instead of just ours. I apply basic concepts of Kolmogorov complexity theory to the set of possible universes, and chat about perceived and true randomness, life, generalization, and learning in a given universe.