Cellular Automation of Galactic Habitable Zone

TL;DR

This paper introduces a 2D probabilistic cellular automata model to simulate the Galactic Habitable Zone, incorporating Earth's fossil record data and Fermi's paradox to explore astrobiological evolution.

Contribution

It presents a novel cellular automata approach to model the Galactic Habitable Zone considering probabilistic time-scales and global risks, integrating empirical data and Fermi's paradox as boundary conditions.

Findings

Probabilistic models suggest certain regions are more habitable.

Fermi's paradox constrains the likelihood of advanced civilizations.

The model provides insights into the evolution of life in the galaxy.

Abstract

We present a preliminary results of our Galactic Habitable Zone (GHZ) 2D probabilistic cellular automata models. The relevant time-scales (emergence of life, it's diversification and evolution influenced with the global risk function) are modeled as the probability matrix elements and are chosen in accordance with the Copernican principle to be well-represented by the data inferred from the Earth's fossil record. With Fermi's paradox as a main boundary condition the resulting histories of astrobiological landscape are discussed.