Adversarial Reprogramming of Neural Cellular Automata

A robustness investigation. This article makes strong use of colors in figures and demos. Click here to adjust the color palette. In a complex system, whether biological, technological, or social, how can we discover signaling events that will alter system-level behavior in desired ways? Even when the rules governing the individual components of these complex systems are known, the inverse problem - going from desired behaviour to system design - is at the heart of many barriers for the advance of biomedicine, robotics, and other fields of importance to society. Biology, specifically, is transitioning from a focus on mechanism (what is required for the system to work) to a focus on information (what algorithm is sufficient to implement adaptive behavior). Advances in machine learning represent an exciting and largely untapped source of inspiration and tooling to assist the biological sciences.…