A New Model for Artificial Intuition

Marcello Trovati, Olayinka Johnny, Xiaolong Xu, Nikolaos Polatidis

Abstract: The ability to inform and facilitate data-driven decisions is at the core of Data Science, AI, and general Machine Learning techniques. To achieve this, all possible scenarios must be considered, and their outcomes must be assessed logically and systematically to obtain accurate and applicable methods for knowledge discovery. There is compelling evidence from the cognitive sciences that intuition plays an important role in intelligence extraction and the associated decision-making process. As a consequence, the embedding of Artificial Intuition within AI would provide novel ways to identify and process information.