TAG ARCHIVE
recursive-intelligence
3 MARIA OS blog articles tagged recursive-intelligence, 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.
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.
Meta-Insight Under Distribution Shift: Change-Point Governance Loops for Enterprise Agentic Systems
An operational architecture for detecting non-stationarity, throttling unsafe adaptation, and restoring decision quality under drift
This article outlines change-point detection, bounded policy updates, and fail-closed escalation for distribution-shift governance.
Securing Recursive AI Feedback Loops: Adversarial Reflexivity Hardening for Meta-Insight Systems
Defense framework for prompt injection, feedback poisoning, and policy-hijack attacks in self-improving loops
Layered provenance checks, anomaly scoring, and quarantine rules harden adaptive loops while preserving auditability.
Meta-Insight ROI Model: Value-at-Reflection Economics for Agentic Companies
An executive model for estimating marginal value, risk compression, and payback period of recursive reflection systems
Value-at-Reflection estimates Meta-Insight ROI with finance-ready metrics for quality gains, risk compression, and payback.