Relational Field Theory -Applications in STEM – Compression as Congruence Extraction Relational Field Theory redefines compression as the extraction of coherent structures from fields, rather than merely reducing data size. High relational density (Rho) enhances compressibility by preserving meaning and coherence. This concept applies across various domains, including DNA, mathematics, and cultural symbols, emphasizing that effective compression is fundamentally congruence extraction.

“Compression is not shrinking.
It is congruence extraction.”
#NewInformationTheory #RFTinSTEM

Relational Field Theory – Applications in STEM – Information as Rho Relational Field Theory (RFT) redefines information as the density of meaningful relations in a field, challenging classical information theory's focus on bits. It highlights how relational density influences meaning, coherence, and accuracy, while proposing that understanding information flows and thresholds can enhance collective intelligence and system behavior in STEM fields.

“Information is not bits.
It is Rho.”
#NewInformationTheory #RFTinSTEM