Standardization and Implementation of Map Characteristics in Survivor-like Games

Abstract

This study aims to analyze and categorize map design elements in survivor-like games. By examining ten commercially available games, we identified four primary map types in 10 different games. Based on these findings, we developed four distinct map types using the Unity editor. To simulate and implement the maps, we located dynamically spawning obstacles at random places and generated tile relocation system for infinite map rearrangement. Additionally, we addressed issues such as tile displacement errors by adjusting the Update() method which is continuously checking and repositioning the tiles. This ensured a fluid and challenging gameplay experience. We tested the maps using an ML Agent, which demonstrated the ability to navigate the environment, recognize and avoid obstacles, and respond to hostile target effectively. The study results an offer insights into effective map design and balancing in survivor-like games. Future research will explore using ML Agents to automatically assess and rank map difficulty, optimizing game design and enhancing player experience in this genre.