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Dynamic difficulty adjustment using a large language model: A case study in magic: The Gathering
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DOI：10.1016/j.entcom.2025.100997.png)
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Abstract
En 中文
• Deploy an LLM to play a card game, adapting to the opponent’s skill in real time. • Leverage an LLM to control MTG gameplay, maintaining a near 50 • “Difficulty arc” shows how an LLM adjusts game difficulty as a dynamic agent.
Keywords:
LLM
card game
MTG
difficulty adaptation
dynamic agent
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