Description: 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, micro-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…
“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
Site Summary: Machines can’t acquire commonsense naturally as humans do. To assist the machine acquisition of commonsense concepts, the idea is to analyze the words of a text utilizing reference frames. We call it Word-Sensibility . The goal is a text analysis to assess word sense by simulating human responsiveness. That is, the ability to act quickly and positively to situations in the world. Reference frames move quickly between general and relevant viewpoints . In this way, machines can learn to make bet
The Quadranym Model of Word-Sensibility (Q): An Ecological Psychology Perspective on Word-Level Concepts and Situational Contexts — Non-Mental-Representation Representation — Action Based Theory of Context .