In this paper we researched the application of mana curve evaluation, Monte Carlo Simulation and heuristic evaluation to a bot for the arena mode of the Legend of Code and Magic (LCM) game. The bot combines strategic drafting based on mana curve optimization with simulation-based action selection during the battle phase. By leveraging computational efficiency and adaptive strategies, the bot effectively balances exploration and exploitation, achieving competitive performance. |
*** Title, author list and abstract as submitted during Camera-Ready version delivery. Small changes that may have occurred during processing by Springer may not appear in this window.