OSW

SIGNATURE WORK
CONFERENCE & EXHIBITION 2022

Automated Game Playing System

Name

Yi Wei

Major

Data Science

Class

2022

About

My name is Yi Wei, a senior student majored in Data Science, interested in artificial intelligence, software development, HCI, VR/AR, etc.

Signature Work Project Overview

As the exploration of machine learning continues, various automation projects based on machine learning have become very popular, such as autonomous driving, automatic cruising, and so on. The focus of this project, on game intelligence programs, is also a frequently discussed topic. The AAAI GGP (General Game Playing), an international competition in this direction, is an important event in this field. Automated game programs cover many aspects of machine learning and computer science, such as search algorithms, state valuation, etc. Furthermore, the development of automatic game playing program can reflect the progress in artificial general intelligence area. Thus, it is an area which is worthy concern.

This project will first build a python/java based generic template for an automated game playing system, including detection and interception of the game screen, recognition of the current game state, and automatic keyboard command input, etc. This system can be used for teaching or for algorithm competitions. The next step is to try to create a general game algorithm that can play simple games normally, or to optimize the algorithm for special games (Minesweeper, 2048).

Signature Work Presentation Video