The Word-Sensibility Model
We might imagine each word as representing a discrete dynamical system. All systems draw upon the environment and then give back to it, thus participating in an ecology of dynamical systems (i.e., Dynamical Context.)
Word-sensibility is about words operating like units of homeostasis. A word is like a sensing unit of homeostasis where it responds to changes presented to it in a text. It finds stasis by adjusting its coordinates on the x-y axes to coordinates that its zeropoint can most effectively anchor for.
- For example, barrier is a changing dynamic FOR passage of topic-door.
- Barrier represents potential coordinates. Passage is the zeropoint.
- Each unit is a kind of reference frame in which the dynamic sense of a word is balanced to a context e.g., IF context a THEN more x less y.
Consider the contextual dynamics of door for the sentences below:
- Context a: “Close the door because it’s cold outside.”
- Context b: “Open the door because it’s hot in here.”
- Quadranym: (∀x) door(x) ⟹ [Open(passage) ⊇ Close(barrier)(x)]
In the example above, one might imagine how a statistical model can model a homeostasis regarding door and climate changes as well as, security, privacy and aesthetics (i.e., word-topics cluster inferential word vectors.)
Now imagine every word having its own kind of responsiveness.
“I know nothing in the world that has as much power as a word. Sometimes I write one, and I look at it, until it begins to shine.”