Introducing The Word-Sensibility Model
A Commonsense Database for Artificial Intelligence
Site Summary: There are innumerable situations that humans would know and machines would not. To enhance machine awareness of commonsense concepts, the idea is to analyze the words of a text utilizing reference frames. We call it word-sensibility. The goal is textual analysis to assess word sense by simulating human responsiveness. That is, the ability to act quickly and positively to situations in the world. In this way, machines can make better sense of the things that people typically know. A conceptual model and propositions are proposed that could form the basis for further research.
Theoretical and Computer Model: Intersubjectivity, Anthroposemiotics, Enactivism, Ecological Psychology, Embodied Cognition, Phenomenology.
The Quadranym Model of Word-Sensibility (Q): An Ecological Systems Perspective On Word-Level Concepts & Contextual Unitizations – Non-Mental-Representation Representation – Design Before Define Approach.
Q Ontology: A method to analyze and cluster words. A metrical alignment system to represent dynamic word relations in units, scripts and layers.
A preview of Some Basic Word-Sensibility Concepts.
“To understand is to experience harmony between what we aim at and what is given, between the intention and the performance – and the body is our anchorage in the world. ”― Maurice Merleau-Ponty
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