TAG ARCHIVE
human-agent-hybrid
4 MARIA OS blog articles tagged human-agent-hybrid, 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.
How Agent Office Replaces White-Collar Execution: Workflow Transfer, Organizational Redesign, and a Staged Change Roadmap
Why the real shift is not job-title extinction but the transfer of drafting, coordination, reporting, and repeatable execution into an agent operating layer
Agent Office does not first replace white-collar employees as a category. It first replaces the hidden execution layer inside white-collar work: drafting, routing, follow-up, reconciliation, reporting, and first-pass judgment. This article uses current evidence from OpenAI, OECD, ILO, Anthropic, WEF, and NIST to model which workflows move first, how fast the shift can happen, and what a practical change-management roadmap looks like.
Agent Officeはホワイトカラーをどう置き換えるのか: 実行レイヤー移管、組織再設計、段階的ロードマップ
職種の消滅ではなく、下書き、調整、報告、追跡、一次判断の実行層がAgent Officeへ移る。公開研究をもとに、その順序と変化管理を整理する
Agent Officeが先に置き換えるのは、ホワイトカラーの人材そのものではなく、白領業務の内部にある実行レイヤーです。OpenAI、OECD、ILO、Anthropic、WEF、NISTの示唆をもとに、どのワークフローが先に移り、組織がどう段階的に変わるのかを、日本語で整理した実務向けブログ記事です。
Cognitive Load Balancing in Human-Agent Hybrid Teams: Scheduling Human Attention as a Limited Resource
A practical workload model for routing review to people who still have real attention left
Human oversight fails when review demand is treated as infinite capacity. This article presents a practical control model for supervisor load, priority routing, and rest-aware scheduling. The emphasis is operational: estimate available attention, protect high-priority reviews, and avoid the common failure mode where humans are technically in the loop but cognitively saturated.
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.