CONCEPT
The Intentional Stance
Daniel Dennett's strategy of treating a system as if it had beliefs, desires, and rationality — a pragmatic alternative to metaphysical debates about what "really" has a mind.
The intentional stance is Dennett's name for the strategy of predicting an entity's behavior by assuming it acts rationally in pursuit of beliefs and desires attributable to it. Dennett distinguishes it from the physical stance (predicting by physics) and the design stance (predicting by how something is designed to work). The intentional stance works for humans, chess computers, and thermostats alike — anything whose behavior is most economically predicted by treating it as if it had reasons.
In The You On AI Field Guide
For AI, the intentional stance dissolves the question "does this system really think?" and replaces it with the more tractable question: "is treating it as if it thinks the most useful model?" For large language models, the intentional stance is how most users actually engage: we ascribe beliefs and goals to the model because that's what makes its behavior predictable, even though we know the underlying mechanism is statistical text prediction.
The intentional stance has become an unusually