Article
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...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 6291717b-1ada-57b7-b7dd-e031646965e7
- DOI
- 10.20944/preprints202608.0212.v2
