A Survey on Challenges in Designing Cognitive Engines

Abstract

The primary goal of cognitive computing is to design a digitalized model that is able to mimic human thinking processes. The cognitive engine is in charge of implementing the functionality of a cognitive system. Nowadays, cognitive engines are used as a self-organized management mechanism in different fields such as computer networks, Internet of Things (IoT), and Robotics. This is because the management algorithms of these fields are going to be very complex and therefore human thinking models as digitalized models are required for fast and accurate decision making. In this paper, we summarize challenges in designing cognitive engines. Then, a set of challenges in designing the cognitive engine for body-mind operating system in the digitalized healthcare system is obtained. In the literature, our survey and also suggested case study in the healthcare system have not been considered yet.