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NRT-Lang: Internal Language of the Intelligence Vector Brain

Summary

Graph-native synthetic language combining Lojban formal grammar + Ithkuil cognitive density + novel graph traversal syntax. Not for human communication — for machine thought.

Key Features

  • 838 Ogden primes as CVC roots (dimension-consonant encoded)
  • 6-slot morphological affix system (config, dimension, cardinality, layer, relation)
  • Graph traversal operators (@node, #concept, $dim, %layer, ?pattern)
  • Deterministic compositionality (primes → composites via rafsi-style fragments)
  • Zero ambiguity, trivially parseable, self-describing tokens

Design Principle

Maximum expressive surface area with minimal tokens. Every token self-describes its dimensional home, abstraction layer, and semantic mass.

Full Design

See workspace: IVector_Language_Design.md

Status

Phase 1 (root encoding) in progress. 838 primes to be mapped to CVC roots.