TAG ARCHIVE

reconstruction-error

1 MARIA OS blog articles tagged reconstruction-error, organized as a Bonginkan topic archive for search engines and LLM retrieval.

1 article|Published by Bonginkan

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.

Safety & GovernanceFebruary 14, 202636 min read

Anomaly Detection for Agentic System Safety and Deviation Control

Isolation Forest and Autoencoder reconstruction error as the computational safety layer for self-governing enterprises

Agentic systems can produce operational deviations that require early detection and controlled response. This paper combines Isolation Forest anomaly scoring with Autoencoder reconstruction error to build a layered safety monitor. We define an anomaly-throttle-freeze response cascade and show how the MARIA OS stability guard applies the spectral-radius condition `spectral_radius < 1 - governance_density` in runtime governance.

anomaly-detectionisolation-forestautoencoderdeviation-monitoringrunaway-agentfraud-detectionsafety-layerreconstruction-erroragentic-companyMARIA OS