Word-Sensibility Model: Intersubjectivity, Micro-Topics & The Coherent Bias
Word-Sensibility centers around ways to anchor the responsiveness of words in a system. That is, the ability to act quickly and positively to situations in the world. In our model, we represent responsiveness in micro-topics. Micro-Topics (or word-topics) help organize, characterize or summarize lexical information. They’re pre-textual micro-unit renderings of context used to anchor focus given to a sentence and to contextual development. The model represents micro-topics in four dimensions. We refer to these micro-topic dimensions as quadranyms.
Consider the word eat for example: eat1 and eat2 represent two different orientations of responsiveness. Each, a quadranym micro-topic of the word eat.
∀(x) eat1(x) → Sate{…)(hungry{…}) ⊇ Starve{…}(food{…})x
∀(x) eat2(x) → Available{…)(consume{…}) ⊇ Deplete{…}(resource{…})x
{…) = a dimensional cluster of related terms.
- The source condition represents the superset.
- The target variable represents the subset.
eat1 source: the subject hungry is predicated on Sate.
eat1 target: the subject food is predicated on Starve.
eat2 source: the subject consume is predicated on Available.
eat2 target: the subject resource is predicated on Deplete.
Any target variable becomes from what the source is being.
“I want chocolate mousse.”
A source condition takes a target variable. In this example, the target variable is chocolate mousse. When the source condition is shared it is called a coherent bias.
(∀x) eat(x) ⟹ [Sate(hungry) ⊇ Starve(food)x]
- Predicates (modes) provide measure
- Subjects (states) provide arguments
- hungry (coherent bias) anchors orientation
- food (conditional) is the target variable
In the model, once motivated, the listener’s intention is to find cues in the content so to sync with oscillating coherent and conditional factors.
What is required here is the most basic topic and its source condition, a condition that the agent and the patient can share. Any other knowing requirements involves nesting more micro-topics.
Micro-topics are virtual orientations shared between people. Just like there are different word senses, there are different orientations of micro-topics. Consider the different orientations for the topic eat below.
| Topic Name: Eat(x) | Weights |
| (∀x) eat1(x) ⟹ [Sate(hungry) ⊇ Starve(food)x] | 1.0 |
| (∀x) eat3(x) ⟹ [Swallow(mouth) ⊇ Chew(food)x] | 0.7 |
| (∀x) eat4(x) ⟹ [Intact(chew) ⊇ Fragment(substance)x] | 0.6 |
| (∀x) eat2(x) ⟹ [Available(consume) ⊇ Deplete(resource)x] | 0.5 |
| (∀x) eat5(x) ⟹ [Stable(corrode) ⊇ Disintegrate(material)x] | 0.1 |
Coherent Bias (subject state) = {hungry, mouth, chew, consume, corrode}
Consider the assertion; “My car eats up gas.” The orientation eat1 implies the car is hungry. The orientational process must identify any false path that may be educed from the coherent bias. Sensing that the car must be hungry is a mistake that a child can make. Consider how inhibitors, taboo and humor might function as part of this process.
“I want chocolate mousse!” Craving dessert is a measurable situation in this micro-topic eat1.
(∀x) eat1(x) ⟹ [Sate(hungry) ⊇ Starve(food)x]
Contextual Inference Utility
| Utility = Sate | Weight |
| Crave = Sate | 1.0 |
| Nutrition = Sate | 0.6 |
| Growth = Sate | 0.5 |
| Life = Sate | 0.4 |
To vary any eat1 utility, sate is dependent on starve. In this situation, starve rates low (20%) and sate utility crave rates high (8.1). Hungry is your body telling you it’s time to eat. Starvation is when you burn more energy than you take in. In this micro-topic, hungry for something anchors the sense of measure between sate and starve. If Marie is diabetic or in someway needing what she craves, then starve increases as a general reference of need. If another utility is dependent, say nutrition, then the output changes according to the situation. Any variability for craving is dependent on the polarity between eat1 predicate modes i.e., all eat1 = all sate non-discrete. Being hungry in eat1 means sate is dependent on starve to bring discreteness when targeting food.
Utility is potential measure of the dependent variable. In this Quadranym, sate is the dependent variable able to infer several potential measures (or utilities). Starve acts as the independent variable providing actual measure for potential meanings relating to eating food.
Finally, The Word-Sensibility Model is about matching micro-topic orientations to words and sentences. Constructed, are hierarchical orders of micro-topic orientations. These orders represent an agent’s occurrent responsiveness to a situation. Hierarchical orders change as situations change or progress.
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