ENGINEERING BLOG
Technical research and engineering insights from the team building the operating system for responsible AI operations.
121 articles · Published by MARIA OS
Mathematical formalization of governance density across organizational scales, with phase-boundary analysis, civilization-scale extension, and convergence proofs
This paper presents a mathematical theory of governance density as a stability parameter across organizational scales, from individual agents to enterprises and civilizations. We formalize agentic-company dynamics as G_t = (A_t, E_t, S_t, Pi_t, R_t, D_t), derive analytical phase boundaries between stagnation, stable specialization, and chaos, and extend the framework to civilization scale through D_eff = 1 - (1 - D_company)(1 - D_civ). We prove convergence conditions via contraction-mapping arguments and analyze a market revaluation model P_{t+1} = P_t + kappa(V_t - P_t) + zeta_t to show how periodic shocks interact with governance density. The result is a unified control view of phase transitions in self-organizing multi-agent 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.
Modeling contagion, portfolio behavior, and equilibrium conditions across three land types in a constrained 90-day economic simulation
The Civilization simulation values every property as 50% market price plus 50% AI-estimated value. This paper analyzes the economic consequences of that hybrid rule, derives stability conditions for three-land-type portfolios (Commercial, Innovation, Public), and applies contagion models to bankruptcy cascades. We show that the 50/50 rule creates a stability corridor that dampens speculative bubbles while preserving price discovery, and that this corridor narrows when LOGOS-driven economies increase effective trading frequency.
Multi-objective optimization, divergent national AI strategies, and stochastic democratic override dynamics in autonomous governance
Each nation in the Civilization simulation operates a LOGOS AI system that optimizes a five-component sustainability objective: Stability, Productivity, Recovery, Power Dispersion, and Responsibility Alignment. We formalize this as a constrained multi-objective optimization problem, analyze how nations diverge by navigating different regions of the Pareto frontier, and model constitutional amendments as stochastic threshold events that can override AI recommendations. We then characterize conditions under which AI rulings conflict with democratic outcomes.
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Complete list of all 121 published articles. EN / JA bilingual index.
121 articles
All articles reviewed and approved by the MARIA OS Editorial Pipeline.
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