Making Provision Possible: Applied Recognition Economics

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A meal can be available, promised and delivered while its recipient still goes hungry. A repair can succeed while exhausting its worker. Recognition Science places these economic questions within one physical and ethical reality: actions change shared relations, while burdens, capacities and responsibilities belong to particular persons. We develop a finite model connecting production, work, accepted terms, past performance and each actor's information. Ethical effects are read from a common bond ledger; selection retains each plan's own permission and capacity. The control criterion distinguishes a cooperative schedule from a guarantee across other people's permitted responses. Under an explicit service interpretation, a shared repair example establishes beneficial choice without a prior service promise. A meal-delivery benchmark supplies a schedule serving all 505 requests within the stated limits, together with the delays and added work it causes. Identifying measured human effects, deriving governing duties under unavoidable conflict and testing prospective outcomes remain research questions. This deposit contains the 19-page manuscript, with exposition revised September 17, 2026. The research page provides related papers and reproducibility materials: https://recognitionphysics.org/economics/ . Foundational paper: https://doi.org/10.5281/zenodo.22819598 . AI assistance: OpenAI Codex and AI-assisted internal review supported derivations, formalization, executable checks, manuscript preparation and revision. Jonathan Washburn is the author and responsible depositor. Internal AI review is not external peer review.