Cognitive Analytics and Reinforcement Learning

4Predicting Optimal Moves in Chess Board Using Artificial Intelligence

Thangaramya K.¹*, Logeswari G.², Sudhakaran G.³, Aadharsh R.⁴, Bhuvaneshwar S.⁴, Dheepakraaj R.⁴ and Parasu Sunny⁴

¹School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Vellore, India

²School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Chennai, India

³School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai, India

⁴Department of Computer Science and Engineering, College of Engineering Guindy, Anna University, Chennai, India

Abstract

Artificial Intelligence (AI) has advanced to the point where computers have attained the grandmaster level in chess and are now competing for the World Championship. Despite numerous attempts using various AI techniques, chess has proven to be a highly complex challenge. As such, promoting chess as the primary testing ground for AI and highlighting its significant contributions to the field is crucial. Nowadays, artificial intelligence has grown to great heights and it has contributed a lot in the field of computer chess. However, it is computationally expensive and requires a lot of time to train. It is not feasible to implement such algorithms in the day-to-day machines we use. This brings in the need to develop a system that can work in any device without requiring high computation machines. This chapter proposes a new intelligent system for playing chess games in a computationally ...