Metalearner: A Self-Validating Geometric Reasoning System for Mathematical Feasibility Assessment
收藏DataCite Commons2026-01-05 更新2026-05-05 收录
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The Metalearner system addresses a fundamental gap in scientific decision-making: determining mathematical feasibility of unknown problems before resource commitment. Traditional approaches require substantial investment to discover if solutions are even possible. This architecture provides rapid, mathematically rigorous feasibility assessment independent of training data, institutional resources, or historical precedent.The system employs dual complementary engines—EAMC for analytical validation and Metalearner for creative discovery—operating through geometric reasoning across 20 specialized dimensional pantheons (3D-12D). Rather than pattern matching from datasets, the architecture performs nearest-neighbor geometric reasoning in 16-dimensional latent manifolds, enabling exploration of solution spaces beyond current human knowledge.
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Science Data Bank
创建时间：
2026-01-05
