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The Reinforcement Learning Contour: From Document Production to Governed Epistemic Transformation in AI-Assisted Scientific Inquiry

2026-08-10

Abstract excerpt

Generative artificial intelligence has reduced the technical cost of producing scientific text, but increased output does not by itself produce cumulative knowledge, conceptual novelty, or epistemic progress. This article develops the Reinforcement Learning Contour (RLC) as a conceptual and architectural framework for converting AI-assisted scientific work from repeated document generation into governed recursive...

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Literature Corpus work
6291717b-1ada-57b7-b7dd-e031646965e7
DOI
10.20944/preprints202608.0212.v2
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The Reinforcement Learning Contour: From Document Production to Governed Epistemic Transformation in AI-Assisted Scientific InquiryDOI 10.20944/preprints202608.0212.v2
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