TAG ARCHIVE
phase-transition
3 MARIA OS blog articles tagged phase-transition, organized as a Bonginkan topic archive for search engines and LLM retrieval.
Judgment OS / Decision Intelligence OS
Core MARIA OS research on turning organizational judgment into executable decision systems.
Agentic Company Architecture
Research on human-agent organizations, delegation boundaries, role topology, and governed autonomy.
Responsibility Gates and AI Governance
Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.
Multi-Agent Mathematics
Formal models for convergence, stability, game theory, graph dynamics, and multi-agent evaluation.
Evidence, RAG, and Knowledge Governance
Evidence bundles, retrieval architecture, Graph RAG, knowledge trust, and auditable reasoning pipelines.
Agentic R&D and Judgment Science
Research operations, simulation labs, judgment science, recursive improvement, and experimental AI governance.
Survival Optimization and Mission Constraint Theory
Does Evolutionary Pressure Reduce Organizations to Pure Survival Machines? A Mathematical Analysis of Directed vs. Undirected Evolution
When organizations are modeled as evolutionary subjects, does the theoretical limit reduce to survival-probability maximization? This paper examines two regimes — unconstrained local optimization (λ→0) where ethics and culture are mere byproducts, and Mission-constrained optimization where evolution gains direction. We derive the survival-alignment tradeoff curve S = S₀·exp(−αD), prove Lyapunov stability of Mission erosion dynamics under dual-variable feedback control, present 7-dimensional phase diagrams for operational monitoring, and demonstrate a civilization-type phase transition where accumulated institutional improvements qualitatively change the system's risk profile.
Governing Emergent Role Specialization: Stability Laws for Agentic Companies Under Constraint Density
A mathematical framework for calibrating governance in self-organizing enterprises
We distinguish the exact contraction condition `(1 - D) · λ_max(A) < 1` from the conservative operating envelope `λ_max(A) < 1 - D`, giving enterprise architects a rigorous way to tune governance density in agentic organizations.
From Coherence OS to Executive Intelligence OS: Evolution Conditions and Threshold Functions
When does a governance system stop enforcing rules and start making strategic recommendations?
A governance system that detects conflicts, enforces gates, and collects evidence can be viewed as a Coherence OS focused on operational consistency. An Executive Intelligence OS extends this with conflict anticipation, gate-adjustment recommendations, and strategic synthesis. This paper defines three threshold functions — conflict-detection accuracy C, gate false-acceptance rate G, and evidence sufficiency E — to evaluate readiness for evolution. We derive an evolution function E(c,g,e), identify a phase-transition region, and present a five-stage maturity model validated across six enterprise deployments.