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This paper presents a game-playing bot for the Legend of Code and Magic (LCM), utilizing mana curve evaluation during drafting and Monte Carlo Simulation (MCS) with heuristic evaluation during battles. The bot strategically constructs decks and simulates action sequences to select optimal plays under time constraints. Evaluation shows strong competitive performance, demonstrating an effective balance between exploration and efficient decision-making.

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On the Application of Mana Curve, Heuristic Evaluation, and Monte Carlo Simulation in Bot Programming

  • 会议论文

  • 发表日期：

    2025年

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  • Tran Cao,
  • Dang Hoang Anh Khoi,
  • Pham Minh Hieu,
  • Doina Logofătu

摘要

This paper presents a game-playing bot for the Legend of Code and Magic (LCM), utilizing mana curve evaluation during drafting and Monte Carlo Simulation (MCS) with heuristic evaluation during battles. The bot strategically constructs decks and simulates action sequences to select optimal plays under time constraints. Evaluation shows strong competitive performance, demonstrating an effective balance between exploration and efficient decision-making.