The Theoretical Foundation
CNL-PL is not an AI that "understands" text. It is a formal system that maps restricted English directly to Set Theory and First-Order Logic.
The Necessity of Determinism
Why ambiguity is a bug, not a feature, and how restricted grammar solves the "guessing game" of natural language processing.
Part 2The SVO Triplet Architecture
Decomposing the world into atomic facts: Subject, Verb, Object. The universal data structure of knowledge.
Part 3Boolean Logic & Grouping
Why "AND" and "OR" are dangerous in English, and how explicit grouping syntax restores mathematical precision.
Part 4Pragmatic Separation
Decoupling Intent from Representation. How one sentence can drive Queries, Proofs, Plans, and Constraints.
Part 5Logic is Geometry
The isomorphism between Logic and Set Theory. How reasoning is reduced to high-performance bitset arithmetic.
Part 6End-to-End Reasoning Flow
From CNL text to KB updates, rule plans, and explainable results.
Part 7Consistency & Validation
Ensuring semantic integrity when composing heterogeneous knowledge graphs. A guide to errors and warnings.
Pragmatics in practice
Same knowledge, different intents: Explain surfaces provenance, Solve binds variables.
Explain why Socrates is Mortal. - Socrates is a man.
Solve for ?X and ?Y such that ?X manages ?Y.