Quad Chess: Redefining Strategy with a 4-Player Chess Approach

Abstract

This paper presents the design and development of a four-player chess game that extends the traditional two-player version. The main goal of this project is to build a system where four players, either human or AI, can play chess together on a larger and more complex board. The game introduces new strategies, as each player must plan their moves while considering three opponents instead of one. The project focuses on the logical design, rule implementation, and intelligent decision-making of the AI players. A graphical user interface is developed to make the game easy to play and visually clear for all four players. The system uses basic algorithms for move generation, board evaluation, and turn management. Each move is checked according to chess rules to maintain fair gameplay. The inclusion of AI helps simulate real opponents and makes the game more interesting. The results show that the system successfully handles multiple players, game rules, and turn rotation without errors. This research highlights how traditional games can be redesigned into multi-agent systems to improve strategy, engagement, and fun. In the future, features like online multiplayer, difficulty levels, and adaptive AI can be added to make the system more interactive and intelligent.