Simulated Autopoiesis in Liquid Automata
Steve Battle
TL;DR
The paper addresses modeling autopoiesis in a physically grounded, continuous-space setting rather than a fixed grid by introducing Liquid Automata. It presents a minimal autopoietic simulation in which a catalyst, substrate, and link particles interact under three collision-based rules $K + 2S \rightarrow K + L$, $L^{n} + L \rightarrow L^{n+1}$, and $L \rightarrow 2S$ within a 2D Box2D environment, driven by Brownian motion. The study demonstrates both organisational closure (production of boundary-forming links) and structural closure (a boundary enclosing the catalyst) and provides quantitative analyses of substrate–link–bond dynamics, including anti-correlated substrate-link behavior and phase-space attractor behavior. This framework enables exploration of more complex metabolisms and chemical networks, offering a path toward studying autopoietic self-organization in living machines using continuous-space simulations.
Abstract
We present a novel form of Liquid Automata, using this to simulate autopoiesis, whereby living machines self-organise in the physical realm. This simulation is based on an earlier Cellular Automaton described by Francisco Varela. The basis of Liquid Automata is a particle simulation with additional rules about how particles are transformed on collision with other particles. Unlike cellular automata, there is no fixed grid or time-step, only particles moving about and colliding with each other in a continuous space/time.
