Cognitive Analytics and Reinforcement Learning

1Cognitive Analytics in Continual Learning: A New Frontier in Machine Learning Research

Renuga Devi T.¹, Muthukumar K.²*, Sujatha M.^1† and Ezhilarasie R.¹

¹School of Computing, SASTRA Deemed University, Thanjavur, India

²School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, India

Abstract

The cognitive system that started with automation has now set its benchmark to reach human-centric intelligence. The slow adoption of cognitive systems is most likely due to its meticulous training process. With cognitive computing as its backbone nowadays, any data can be converted into an asset anytime and anywhere. The complexity of data and its abandonment nature demand the coexistence of many technologies to provide deep insights in a domain. A generic artificial intelligence system built on deep learning and natural language processing evolves into a personalized business partner and a life companion that continuously learns. Combining tremendous power, humanity’s relationship with technology has undergone incredible shifts. The adaptation and embracement have led to a higher level of intelligence augmentation, mainly in decision support and engagement systems, penetrating its need in various fields, especially in the healthcare industry, business-to-business, industrial marketing, autonomous driving, financial services, manufacturing sectors, and as a human assistant in day-to-day activities. The expensive and complex process of using cognitive systems ...