Glenn Matlin
Parv Mahajan
Isaac Song
Yixiong Hao
Ryan Bard
Stu Topp
Evan Montoya
M. Rehan Parwani
Soham Shetty
Mark Riedl
September 21, 2025
Publication
An exploration of language models for open-ended wargames, investigating AI systems’ ability to influence large-scale decisions with implications for safety and interpretability.
Published
September 21, 2025
Authors
Glenn Matlin, Parv Mahajan, Isaac Song, Yixiong Hao, Ryan Bard, Stu Topp, Evan Montoya, M. Rehan Parwani, Soham Shetty, Mark Riedl
Venue
Wordplay: When Language Meets Games Workshop at the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2025
The ability for AI systems to influence large-scale decisions motivates additional research into the safety, interpretability, and explainability of AI in open-ended wargames. This paper explores the use of language models for open-ended wargaming scenarios, examining how LMs reason, plan, and interact in complex strategic environments.
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