The picture theory holds that a proposition is meaningful because its elements correspond to the elements of the fact it represents, and its structure mirrors the structure of that possible state of affairs. Truth consists in correspondence between picture and reality; meaning consists in the logical form the two share. Whatever cannot be pictured cannot be said. The theory gave the dream of perfect language its most rigorous form and supplied, by inheritance, the philosophical architecture of every programming language ever written. Its failure — the specific way it failed to account for ordinary speech — is what makes the AI language moment intelligible as a philosophical event rather than merely a technological one.
A proposition, on the picture theory, shares logical form with what it represents. The cat is on the mat is meaningful because its structure — predicate applied to subject, relation specified between objects — can be matched against a possible arrangement of cat, mat, and relation. Truth is correspondence; meaning is isomorphism. Falsity is a picture of a state of affairs that does not obtain. Meaninglessness is a string of symbols that does not picture any possible arrangement at all.
The theory's power is that it explains a great deal with very little. It explains why propositions can be true or false, why some strings of words are nonsense, why logic works the way it does. It explains the productivity of language — why we can understand sentences we have never heard — by grounding understanding in structure-matching rather than memorized association.
The theory's limits become visible when it is applied to cases it was not designed for. The door is open, uttered as a request to close it, does not picture the door being closed. It does not even picture the door being open in the sense relevant to its use. The five doors thought experiment shows how the same propositional form serves five entirely different communicative functions, none reducible to the picturing relation.
The theory's application to computing is more direct than most philosophers recognized for decades. A program is a picture in the Tractarian sense — its structure mirrors the structure of the computation it specifies. The entire tradition from Turing through von Neumann through modern software engineering is a working-out of what the picture theory makes possible. Which is why the natural language interface is not merely a technological improvement. It is the crossing of the barrier the picture theory drew.
Articulated in the Tractatus Logico-Philosophicus (1921), propositions 2.1–4.0641. Wittgenstein traced its germ to a Parisian lawsuit diagram he read about around 1914 — a courtroom model in which toy cars and figures represented a real accident — and recognized the structure as a general theory of representation.
Isomorphism of structure. A proposition and what it represents share logical form; meaning is grounded in this structural correspondence.
Truth as correspondence. A proposition is true when the state of affairs it pictures obtains, false when it does not.
Limits of the sayable. What cannot be pictured — logic itself, ethics, aesthetics, the form of representation — cannot be said but may be shown.
Decoration vs substance. Natural language's surface can be misleading; its real logical form is revealed by analysis into the atomic propositions it expresses.
Computational inheritance. Every formal programming language embodies the picture theory: the structure of the code is the structure of the computation.
Whether the later Wittgenstein rejected the picture theory or merely narrowed its scope is contested. The Investigations treats picturing as one thing language can do among many, not as the essence of meaning. The computational inheritance is clearer: formal languages cannot represent their own purpose or the form of life within which the computation matters, which is the structural limit the picture theory entails.