Simulated Autopoiesis in Liquid Automata
This work addresses the problem of simulating self-organizing systems for researchers in artificial life and complex systems, but it appears incremental as it builds on prior cellular automaton models.
The paper tackled the simulation of autopoiesis, where living machines self-organize in the physical realm, by introducing a novel form of Liquid Automata based on particle simulations with collision-based transformation rules, resulting in a continuous space/time model without fixed grids or time-steps.
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.