Governance Rules Theory (GRT) formalizes the rule-generation and rule-stabilization layer within adaptive multi-agent systems. Rather than treating governance as continuous external control, the theory models governance as a dynamic meta-rule architecture that regulates how rules emerge, evolve, and safely withdraw over time. The framework introduces a three-layer governance structure consisting of invariant meta-rules, mediating coordination mechanisms, and operational agent diversity. Governance effectiveness is defined not by intervention frequency but by the system’s ability to maintain stability through endogenous regulation. A central concept of the theory is Rest Mode, a mature regime in which governance intervention becomes structurally unnecessary because rule consistency and system self-correction are internally sustained. Governance Rules Theory forms a core component of the Deficit-Fractal Governance (DFG) framework and provides architectural principles applicable to large language models, distributed AI ecosystems, and emerging multi-agent environments.Governance Rules Theory operationalizes the rule layer of the Three-Layer Governance architecture, specifying how governance rules are generated, stabilized, and retired across hierarchical system layers. Together, these theories describe how adaptive multi-agent systems transition from externally regulated behavior toward internally sustained governance regimes.
Bin Seol (Wed,) studied this question.