Augmented Intelligence with Ontology of Semantic Objects
Alvis C. M. Fong, Guan Yue Hong, Bernard Fong · 2019
The most recent AI winter began to thaw several years ago with the advent of deep learning neural networks. Headline grabbing successes propel renewed interests and investments in AI research. Rather than trying to imitate human intelligence and behaviors or excelling in a narrowly defined task, researchers are aiming for general AI. In this paper, we take a different approach, one that aims to multiply human cognitive power through augmented intelligence. This is achieved through ontological reasoning using semantic objects as the atomic level of knowledge representation of real-world concepts and phenomena. Through preliminary experiments, we validate the applicability and efficacy of our approach.