6 papers
Parasitic Masquerade: Societal Scale Human-Machine Interaction
Jiejun Hu-Bolz, James Stovold
This work extends recent developments in studying human--machine interaction by scaling from individual game-theoretic models to a societal-level model. We adopt a Graphon Mean-Fie…
Visualising the Attractor Landscape of Neural Cellular Automata
James Stovold, Mia-Katrin Kvalsund, Harald Michael Ludwig +2
As Neural Cellular Automata (NCAs) are increasingly applied outside of the toy models in Artificial Life, there is a pressing need to understand how they behave and to build approp…
Stability and Geometry of Attractors in Neural Cellular Automata
Mia-Katrin Kvalsund, James Stovold
Throughout the literature on Neural Cellular Automata (NCAs), it is often taken for granted that the systems learn attractors. This is shown through evolving the system for many ti…
Identity Increases Stability in Neural Cellular Automata
James Stovold
Neural Cellular Automata (NCAs) offer a way to study the growth of two-dimensional artificial organisms from a single seed cell. From the outset, NCA-grown organisms have had issue…
Can We Tell if ChatGPT is a Parasite? Studying Human-AI Symbiosis with Game Theory
Jiejun Hu-Bolz, James Stovold
This work asks whether a human interacting with a generative AI system can merge into a single individual through iterative, information-driven interactions. We model the interacti…
Growing Reservoirs with Developmental Graph Cellular Automata
Matias Barandiaran, James Stovold
Developmental Graph Cellular Automata (DGCA) are a novel model for morphogenesis, capable of growing directed graphs from single-node seeds. In this paper, we show that DGCAs can b…