TAG ARCHIVE
gate-optimization
2 MARIA OS blog articles tagged gate-optimization, organized as a Bonginkan topic archive for search engines and LLM retrieval.
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.
AML Detection Gate Optimization: Constrained Loss Minimization for Anti-Money Laundering
Formalizing gate strength as a continuous control variable to minimize the combined cost of false positives, missed detections, and investigation delay in AML compliance pipelines
AML programs face a costly tradeoff between false positives, missed detections, and investigation delay. This paper formalizes AML detection as constrained loss minimization over gate strength `g` and treats the benchmark numbers as synthetic scenario outputs, not as universal regulatory thresholds or turnkey compliance claims. The practical value of the article is in the control framework, escalation logic, and risk-based calibration structure.
Completion Rate and Rework: The Exponential Decay Model of Effective Throughput
Effective throughput is shipped output adjusted by rework return
Enterprise AI systems often optimize completion rate while under-accounting for rework. A system with high completion but high rework can have much lower net throughput. This paper models effective throughput as F_effective = F_short * (1 - Rework) and models rework decay with gate quality as R(g) = R_0 * e^(-beta*g). We derive an optimal gate strength g* that maximizes net throughput under the throughput-quality tradeoff.