The Strategic Optimization of a Tabletop Role-Playing Game
摘要
Globally, Warhammer 40k TRPG (Tabletop Role-Playing Game) enthusiasts often find that the most time-consuming aspect of the game is setting up their loadout. In this project, we employ genetic algorithms to streamline the optimization of a Space Marine Squad’s weapon loadout, tailored to combat various adversaries. This endeavor is not just an exercise in game preparation but a deep dive into the intricate interplay between strategy and probability. It parallels significant AI research in game playing, reinforcing the notion that games serve as an excellent proving ground for AI research. Our ultimate goal is to connect genetic algorithms with practical tabletop warfare games, transforming the way players strategize and engage with the game. This project is more than a study; it is an exploration of the complex balance of strategy and chance.