Transcribing Knowledge introduces a radical method for converting natural-language scientific literature into a fully structured, logically explicit, machine- and human-readable format.
Developed by Ryszard Nowosielski, this system replaces rhetorical exposition with Minimal Propositions (MPs): atomic, logically irreducible statements connected by a universal vocabulary of relation codes. The method is domain-independent and has been tested across physics, medicine, and economics, enabling compression ratios of up to 5:1 without information loss.
This book defines the theoretical foundations, formal syntax, extraction protocol, validation metrics, and practical applications - from AI reasoning and automated hypothesis testing to cross-disciplinary knowledge integration.
Included are:
- A full transcription of scientific material into MP formTranscribing Knowledge is not a book about how to read better. It is a method for changing how knowledge is stored, transmitted, and reasoned over.
It is designed for epistemologists, AI researchers, scientific editors, and anyone working at the boundary of information overload and formal clarity.