Back to blog

TAG ARCHIVE

strategy-simulation

1 MARIA OS blog articles tagged strategy-simulation, 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.

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.

Industry ApplicationsFebruary 12, 202648 min read

Multi-Universe Strategic Optimization: Minimax Theory for CEO Decision Systems

Worst-case utility optimization across parallel business universes and its implementation in MARIA OS

CEO decisions are multi-objective: each strategy affects Finance, Market, HR, and Regulatory universes with partially conflicting goals. This paper formalizes the problem as a minimax game over universe-utility vectors, derives `StrategyScore S = min_i U_i` as a robust objective candidate, constructs conflict matrices from inter-universe correlations, and characterizes a computable Pareto frontier. We connect the framework to MARIA OS MAX-gate design and report simulation results where minimax-oriented policies improved worst-case outcomes by 34% versus weighted-average baselines while retaining 91% of best-case upside.

strategy-simulationminimaxmulti-universeoptimizationgame-theoryceogovernance