(Deprecated) Ethical Attractors in Complex Networks

Status: suspended (September 2026). This research direction is suspended and will not be continued in this form. New iterations of this line of work, rebuilt with real-world data, are in development at fact.ngo. The newer work takes inspiration from the heart of the loop present in this Ethical Attractor concept, and applies it to real data after upgrading it's implementation and theory. What this was A closed-loop simulation study: a networked system of binary cooperation states is monitored through privacy-compatible aggregated edge-count observations only. A Bayesian detector keeps a Dirichlet belief over edge-type proportions with exponential forgetting, estimates coarse signals (cooperation, discord, entropy, volatility), and computes a posterior probability that a configured constraint set is satisfied. A smooth thermostat controller maps posterior risk to a single continuous actuation variable. Sweeps evaluated performance and belief calibration along an observability gradient (sampling rate, observation noise, aggregation level), plus stress ablations and a topology-actuation ablation.