The “gut-feeling” in the decision-making process: A computationally efficient approach to influence relation assessment

Abstract

Deep learning is a relatively new research area, motivated by the need to obtain more accurate, flexible and applicable methods for knowledge discovery. However, deep learning is a much wider concept, which entails a deep understanding of a scenario and its corresponding parameters, aiming to fully describe the interconnections between them. In this paper we will argue that a “gut-feeling” approach can be potentially utilised to obtain accurate results, and we will consider an initial approach to evaluate specific information captured by dependency networks.