TheoryFebruary 15, 202642 min read

Multi-Agent Societal Co-Evolution Model: Network Trust Dynamics and Phase Transitions in AI-Augmented Organizations

Extending dyadic human-AI co-evolution to societal-scale network dynamics with trust propagation, dependency contagion, phase transitions, and distributed social metacognition

Individual human-AI pair models miss emergent dynamics that appear when many agents interact on complex networks. This paper develops a societal co-evolution framework for trust cascades, dependency contagion, capability hollowing, and phase transitions in AI-augmented organizations, and introduces Social Metacognition as a distributed stabilization mechanism.

metacognitionmulti-agentsocietal-modelnetwork-dynamicsphase-transitionstrust-matrixMARIA-OSsocial-metacognition
TheoryFebruary 14, 202642 min read

Civilization Simulation as a Governance Laboratory: Emergent Institutional Evolution in Constrained Multi-Nation Systems

How 13 immutable laws, 4 sovereign nations, and 10-day cycles generate institutional patterns comparable to real-world governance dynamics

The Civilization simulation in MARIA OS provides a controlled environment for studying institutional evolution under constrained multi-agent dynamics. We formalize the 13 Laws as a constitutional constraint manifold, model the Civilization Evolution Index (CEI) as a multi-dimensional health metric over 90-day spans, and show that the 67% constitutional-amendment threshold creates sharp topology transitions. Game-theoretic analysis of inter-nation competition identifies Nash equilibria aligned with known institutional archetypes.

civilizationinstitutional-evolutiongovernance-laboratorygame-theoryCEIconstitutional-amendmentphase-transitionsmulti-nation