A Computable Piece of Uncomputable Art whose Expansion May Explain the Universe in Software Space

TL;DR

This paper explores how navigating software space using Algorithmic Information Dynamics can help uncover underlying causes and models of physical phenomena, potentially advancing scientific discovery.

Contribution

It introduces a novel approach combining uncomputable art and computational epistemology to explore and understand the universe through software models.

Findings

Potential to identify small, explanatory models of data

Navigation of a sci-fi-like software space for scientific insights

Complementary tools for advancing scientific discovery

Abstract

At the intersection of what I call uncomputable art and computational epistemology, a form of experimental philosophy, we find an exciting and promising area of science related to causation with an alternative, possibly best possible, solution to the challenge of the inverse problem. That is the problem of finding the possible causes, mechanistic origins, first principles, and generative models of a piece of data from a physical phenomenon. Here we explain how generating and exploring software space following the framework of Algorithmic Information Dynamics, it is possible to find small models and learn to navigate a sci-fi-looking space that can advance the field of scientific discovery with complementary tools to offer an opportunity to advance science itself.