Game Designs based on Machine Learning Systems

Abstract

Contemporarily, there are many games as follow a storyline in the game industry. On this basis, NPCs are acting under a setup. In this paper, several machine learning systems are creating games and art pieces by themselves. Readers can see how different machine learning system works to form different games. Based on the procedure and evaluations, it will help a lot of game developers to create a full AI system for creating different levels, NPC, monsters, and missions. Therefore, it will create a world that is even more freedom for players to play. ANGELINA system and those two art systems based on machine learning they are creating some random production by themselves, and all the works are high quality. The purpose of this paper is to demonstrate the functions machine learning works in the field of game creation. These results shed light on guiding further exploration of game developing in terms of machine learning scenarios.