Problife: a Probabilistic Game of Life

TL;DR

ProLife introduces a probabilistic extension to the Game of Life, allowing cells to have a chance to live, and demonstrates its implementation in ProbLog for generative art.

Contribution

It presents a novel probabilistic version of the Game of Life and implements it in ProbLog for creative visual generation.

Findings

ProbLife effectively models probabilistic cell survival.

Generated images demonstrate the system's creative potential.

ProbLife extends cellular automata with probabilistic rules.

Abstract

This paper presents a probabilistic extension of the well-known cellular automaton, Game of Life. In Game of Life, cells are placed in a grid and then watched as they evolve throughout subsequent generations, as dictated by the rules of the game. In our extension, called ProbLife, these rules now have probabilities associated with them. Instead of cells being either dead or alive, they are denoted by their chance to live. After presenting the rules of ProbLife and its underlying characteristics, we show a concrete implementation in ProbLog, a probabilistic logic programming system. We use this to generate different images, as a form of rule-based generative art.