SOURCE-LINKED INTELLIGENCE
Positive Topology and Feasible Refinement: Forcing Matrices, Positivity, and Information
We develop a conceptual and operational account of Positive Topology starting from a basic relation between points or models and observable properties. From this relation, two complementary structures emerge. The first captures universal refinement and cover: what must hold across all relevant cases and how information can be systematically refined. The second captures positivity and witnessed existence: what can be positively realized and sustained without relying on classical complements. A central result shows that the underlying relation between points and observables can be reconstructed
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- arXiv · AI, language, vision and robotics · 2026-09-11T20:46:32.000Z
First collected: 2026-09-20T16:41:15.630Z. This is not the publication date.