Cognitive Analytics and Reinforcement Learning

2Cognitive Computing System-Based Dynamic Decision Control for Smart City Using Reinforcement Learning Model

Sasikumar A.¹, Logesh Ravi², Malathi Devarajan³, Hossam Kotb⁴ and Subramaniyaswamy V.⁵*

¹Department of Data Science and Business Systems, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India

²Centre for Advanced Data Science, Vellore Institute of Technology, Chennai, India

³School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India

⁴Department of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, Egypt

⁵School of Computing, SASTRA Deemed University, Thanjavur, India

Abstract

Artificial intelligence (AI) is currently implemented to support many human-centered solutions, including medical, automated mobility, and other areas. As an emerging application developed with the help of AI, cognitive computing offers individualized connections and features that mimic human behavior for interpersonal interactions. On the other hand, much data are produced by applications of smart cities like healthcare, intelligent transportation, the retail sector, and disaster response. Properly managing the massive amount of created data is a constant concern. The analysis of vast amounts of data using cognitive computing has recently been the topic of many existing studies. These studies still need to address key issues, especially the portability and adaptability ...