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.
Responsibility as a conserved quantity: how to allocate it without leakage
When multiple agents collaborate on one decision, accountability allocation becomes a formal design problem. This paper models responsibility as a conserved continuous resource that must sum to 1.0 per decision. We derive allocation functions that balance agent autonomy with human accountability, analyze fail-closed constraints, and show how gate strength shifts the autonomy-accountability frontier.
When agents disagree, system design shapes outcomes through incentives and escalation structure
Inter-agent conflict is inevitable in multi-agent teams. This paper models conflict using payoff matrices, derives Nash equilibria for common conflict classes, introduces VCG-style mechanisms to incentivize truthful preference revelation, and analyzes bounded-round escalation protocols that converge to Pareto-efficient outcomes under stated assumptions.
Why human oversight degrades under sustained load, and how queueing plus fatigue modeling can recover quality
Human supervisors in hybrid teams have finite cognitive capacity that degrades non-linearly under sustained workload. This paper models cognitive load as a depletable resource with fatigue-driven decay, formulates attention allocation as constrained optimization, and derives scheduling policies that improve oversight coverage while keeping operators below overload thresholds.
Why the best teams are not just collections of top individuals: a geometric theory of skill-space coverage
Agent-team performance depends not only on individual capability but on collective coverage of the decision skill space. This paper defines skill complementarity geometrically as the convex-hull volume spanned by team members in a high-dimensional skill space, and derives optimization methods that maximize coverage while controlling redundancy.
How reliability-theoretic design reduces collapse risk from single-agent failures
Production multi-agent teams can fail abruptly when key agents become unavailable. This paper applies reliability engineering (series/parallel decomposition, Markov failure modeling, and k-redundancy analysis) to derive minimum redundancy levels, standby strategies, and recovery protocols that significantly improve resilience through responsibility rotation.
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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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