This project features an advanced chess engine leveraging algorithms such as minimax with alpha-beta pruning, transposition tables, and heuristic-based move ordering. It aims to surpass human-level performance in strategic decision-making and tactical analysis. Leveraging Java's multithreading capabilities ensures efficient execution on hardware's.

24-bit ANSI colored, console-based chess engine using Java. Optional multi-threaded AI using Minimax with alpha-beta pruning. Fully configurable properties including: ply depth, thread pool size, optional AI time limit, all colors, and more.

Project for the course Introduction to Artificial Intelligence.

Alpha Beta algorithm implementation for ConnectFour game.

ChessAI is java based implementing the Minimax algorithm with Alpha-Beta Pruning.

A customizable chess game which allows you to play human vs human, computer vs human and computer vs computer. The computer AI is implemented through the MiniMax algorithm and enhanced with Alpha-Beta pruning.

AI 4x4x4 tic tac toe game with Minimax and alpha-beta pruning

Play Connect4 against different algorithms.

The program is a digital rendition of Connect 4, where players aim to align four discs vertically, horizontally, or diagonally. Players alternate turns, with the AI using the minimax algorithm and alpha-beta pruning to select its best move. The AI predicts up to 4 moves ahead, emphasizing winning quickly and delaying losses.

a simulator for the two-person board game KJumpingCube

MNK game - Alpha Beta pruning

MinMax algorithm with alpha-beta pruning application made in Java.

Connect 4 game in Java using MinMax with alpha-beta pruning algorithm and Swing.

This is my connect four bot! Bitboards implemented, however you can still use non bit boards.

In this project, the AI uses the minimax algorithm with alpha-beta pruning to make the best next move. I implemented the AI to have an adjustable search depth to speed up the decision-making time on larger board sizes and allow for comparing the strengths of AI with varying depths.

"2048" game clone implemented in Java with AI

The game is played on a vertical screen with eight rows, where players take turns dropping their pieces into one of the columns.The objective is to be the first player to connect four pieces in a row horizontally, vertically, or diagonally.

This is a Java-based implementation of the Chinese Checkers game with a graphical user interface (GUI). The game allows you to play against an AI opponent using the Alpha-Beta Pruning algorithm. The objective of the game is to move all your marbles to the opposite point of the star-shaped game board. The first player to achieve this wins the game.

Jungle: Chess Game Engine - Implementation of Minimax, Alpha-Beta Pruning, Move Ordering, and Quiescence Search - SUSTech's project of course CS109: Introduction to Programming in Spring 2023 - Score: 110/100