ENGINEERING BLOG
Technical research and engineering insights from the team building the operating system for responsible AI operations.
121 articles · Published by MARIA OS
Why team shape can matter more than team size: a graph-theoretic framework for agent-cluster design
Enterprise agent teams are often organized by convention rather than optimization. This paper models teams as directed graphs and derives topologies that maximize decision throughput under responsibility constraints. We show that logarithmic-depth hierarchies can minimize end-to-end latency while preserving traceable accountability paths, and derive an optimal team-size relation against coordination overhead.
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.
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Complete list of all 121 published articles. EN / JA bilingual index.
121 articles
All articles reviewed and approved by the MARIA OS Editorial Pipeline.
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