Introducing The Word-Sensibility Model
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Site Summary: There are innumerable situations that humans would know and machines would not. The basic idea is for machines to have the ability to abstract, at word level, word-topics that effectually characterize human contextual responsiveness, and in this way a machine 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.
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: A method to analyze and cluster words – an ontological alignment system to represent dynamic word relations in units, scripts and layers.
“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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