Glenn Matlin, Isaac Song, Anthony Wen-Ming Zang, and Mark O. Riedl No One Wins in Nuclear War: Social Simulations of High-Stakes Military Decision-Making Proceedings of the COLM 2026 Workshop on Social Simulations with LLMs (2026). arXivWorkshopbibtexSocial SimulationAgentsLarge Language ModelsAI Safety
@InProceedings{Matlin2026NoOneWins,
author = {Matlin, Glenn and Song, Isaac and Zang, Anthony Wen-Ming and Riedl, Mark O.},
booktitle = {Proceedings of the COLM 2026 Workshop on Social Simulations with LLMs},
title = {No One Wins in Nuclear War: Social Simulations of High-Stakes Military Decision-Making},
year = {2026},
owner = {riedl},
url = {https://arxiv.org/abs/2608.01868},
keywords = {worlds, agents, llms, safe},
}
Mark O. Riedl and Glenn Matlin Position: AI is Not Ready for Strategic Conflict Proceedings of the COLM 2026 Workshop on Social Simulations with LLMs (2026). WorkshopbibtexSocial SimulationAgentsPolicy and LawAI Safety
@InProceedings{Riedl2026Position,
author = {Riedl, Mark O. and Matlin, Glenn},
booktitle = {Proceedings of the COLM 2026 Workshop on Social Simulations with LLMs},
title = {Position: AI is Not Ready for Strategic Conflict},
year = {2026},
owner = {riedl},
keywords = {worlds, agents, policy, safe},
}
Isaac Song, Mohammed Rehan Parwani, Glenn Matlin, Emile Timothy Anand, Akhil Theerthala, Arjun Chatterjee, Anthony Wen-Ming Zang, Maria Kostylew, Yonadav G. Shavit, Sebastian Krier, and Mark O. Riedl Role Steering of Language Models for Social Simulations Proceedings of the COLM 2026 Workshop on Social Simulations with LLMs (2026). arXivWorkshopbibtexSocial SimulationAgentsLarge Language ModelsInterpretability
@InProceedings{Song2026RoleSteering,
author = {Song, Isaac and Parwani, Mohammed Rehan and Matlin, Glenn and Anand, Emile Timothy and Theerthala, Akhil and Chatterjee, Arjun and Zang, Anthony Wen-Ming and Kostylew, Maria and Shavit, Yonadav G. and Krier, Sebastian and Riedl, Mark O.},
booktitle = {Proceedings of the COLM 2026 Workshop on Social Simulations with LLMs},
title = {Role Steering of Language Models for Social Simulations},
year = {2026},
owner = {riedl},
url = {https://arxiv.org/abs/2608.00023},
keywords = {worlds, agents, llms, interp},
}
2025
Glenn Matlin, Parv Mahajan, Isaac Song, Yixiong Hao, Ryan Bard, Stu Topp, Evan Montoya, M. Rehan Parwani, Soham Shetty, and Mark Riedl Shall We Play a Game? Language Models for Open-ended Wargames Proceedings of the 2025 EMNLP Word Play Workshop (2025). arXivWorkshopbibtexSocial SimulationAgentsAI Safety
@InProceedings{Matlin2025Wargames,
author = {Glenn Matlin and Parv Mahajan and Isaac Song and Yixiong Hao and Ryan Bard and Stu Topp and Evan Montoya and Parwani, M. Rehan and Soham Shetty and Mark Riedl},
booktitle = {Proceedings of the 2025 EMNLP Word Play Workshop},
title = {Shall We Play a Game? Language Models for Open-ended Wargames},
year = {2025},
owner = {riedl},
url = {https://arxiv.org/abs/2509.17192},
keywords = {worlds, agents, safe},
}
@InProceedings{Ammanabrolu2021Modeling,
author = {Ammanabrolu, Prithviraj and Riedl, Mark O.},
title = {Modeling Worlds in Text},
booktitle = {Proceedings of the 2021 Conference on Neural Information Processing Systems, Benchmarks Track},
year = {2021},
owner = {riedl},
timestamp = {2021.06.15},
url = {https://arxiv.org/abs/2106.09578},
keywords = {int, worlds, agents, rl},
}
2006
Mark O. Riedl and Andrew Stern Believable Agents and Intelligent Scenario Direction for Social and Cultural Leadership Training Proceedings of the 15th Conference on Behavior Representation in Modeling and Simulation (BRIMS) (2006). PDFConferencebibtexInteractive StoriesSocial SimulationAgentsEducation
@InProceedings{riedl:brims2006,
author = {Riedl, Mark O. and Andrew Stern},
title = {Believable Agents and Intelligent Scenario Direction for Social and Cultural Leadership Training},
booktitle = {Proceedings of the 15th Conference on Behavior Representation in Modeling and Simulation (BRIMS)},
year = {2006},
cvnote = {Awarded best paper.},
url = {http://www.cc.gatech.edu/~riedl/pubs/brims06.pdf},
keywords = {int, worlds, agents, edu},
}