Artificial Intelligence based Chess Solver

Rohit Verma¹, Sanchit Verma²,Saransh Maddhesia³, Shipra Srivastava⁴

⁴Assistant Professor of Information Technology Engineering, Greater Noida Institute of Technology

^1,2,3 Student, Department of Information Technology Engineering, Greater Noida Institute of Technology

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Abstract –

Numerous published studies have revealed that various researchers have tried to create a system that learns to play cognitive games, given little or no information about the law of the game. A standard chess machine carefully scans the moving possibilities from the chessboard configuration to choose which best move can be made. The vicious search method used by the Deep Blue chess engine has had a huge impact on the world of artificial intelligence, but it is still found hungry for resources. This paper, with the concept of Artificial Neural Networks introduces a simple and effective way to develop a clever chess engine that can help and demonstrate possible movement within the game using an evolutionary and flexible computer learning system for human grandmasters.

Keywords

Artificial Neural Network, Championship game, legal move, Octavius.