# Triadic Commons Environment

A decision method called Triadic Viability Alignment (TVA) uses no instance-level normative labels in the controlled multi-agent Triadic Commons Environment, scoring 3.06 percentage points below a preference-supervised baseline on task success while staying inside a pre-set 10-point non-inferiority margin, and raising joint viability by 83.68 points. It places three roles, the acting subject, affected others and shared conditions, plus non-compensatory hard floors ahead of utility comparison, removing actions predicted to breach a floor. Risk-sensitive control and multi-step model-predictive control nevertheless exceed it on joint viability by 10.42 and 8.68 points, and structured data selection did not reduce data requirements.

A decision method called Triadic Viability Alignment (TVA) uses no instance-level normative labels in the controlled multi-agent Triadic Commons Environment, scoring 3.06 percentage points below a preference-supervised baseline on task success while staying inside a pre-set 10-point non-inferiority margin, and raising joint viability by 83.68 points. It places three roles, the acting subject, affected others and shared conditions, plus non-compensatory hard floors ahead of utility comparison, removing actions predicted to breach a floor. Risk-sensitive control and multi-step model-predictive control nevertheless exceed it on joint viability by 10.42 and 8.68 points, and structured data selection did not reduce data requirements.