Knowledge-based networks for artificial intuition

Abstract

The ability to carry out automated decision making from large data sets with potentially large quantities of parameters presents a major challenge in decision making systems. Moreover, this involves the need for deeper analysis to allow their investigation of their corresponding scenarios in other to perform knowledge discovery, which is usually associated with high computational complexity. In this article, we discuss a knowledge-based network approach to facilitate the identification and extraction of information for a novel Artificial Intuition approach which is currently being developed by the authors.