TAG ARCHIVE

self-evolving-governance

1 MARIA OS blog articles tagged self-evolving-governance, 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.

Agentic R&D and Judgment Science

Research operations, simulation labs, judgment science, recursive improvement, and experimental AI governance.

ArchitectureFebruary 12, 202645 min read

Agentic Company Structural Design: Responsibility Topology, Conflict-Driven Learning, and Self-Evolving Governance for Human-Agent Organizations

Modeling the enterprise as a responsibility topology across human-agent decision nodes

This paper explores corporate design where the primary unit is the decision node and its responsibility allocation, not only role or department labels. It introduces five linked research programs that model the enterprise as a weighted directed responsibility graph whose topology evolves through conflict-driven learning. We formalize human-agent responsibility matrices, derive scalable topology conditions, define health metrics for hybrid organizations, and model governance as a self-evolving decision graph with gate-managed policy transitions.

agentic-companyresponsibility-matrixorganizational-topologyconflict-learningself-evolving-governanceMARIA-OSgraph-theorydecision-pipelinefail-closedhuman-agent-hybrid