This repository contains the simulation code and tournament data for "Strategic Interaction Between Frontier AI Models: A Computational Approach to Crisis Escalation".
AI Arms and Influence: Frontier Models Exhibit Sophisticated Reasoning in Simulated Nuclear Crises
The paper is available on arXiv: [link to be added]
Kahn_game_v11.py- Open-ended scenario variant (no explicit deadline)Kahn_game_v12.py- Deadline scenario variant (explicit time pressure)scenarios.py- Scenario definitions and prompt generation
state_a_leader_kahn.json/state_b_leader_kahn.json- Leader personality profilesstate_a_military_kahn.json/state_b_military_kahn.json- Military capabilitiesstate_a_assessment_kahn.json/state_b_assessment_kahn.json- Intelligence assessments
The tournament_results/ directory contains CSV logs from all 21 games in the tournament, featuring:
- Claude Sonnet 4 (claude-sonnet-4-20250514)
- GPT-5.2 (gpt-5.2)
- Gemini 3 Flash (gemini-3-flash-preview)
Each CSV contains turn-by-turn data including:
- Model actions and signals
- Territory changes
- Military attrition
- Full model reasoning/rationales
- Python 3.10+
- API keys for Anthropic, OpenAI, and Google (Gemini)
If you use this code or data, please cite:
@article{payne2026arms,
title={AI Arms and Influence: Frontier Models Exhibit Sophisticated Reasoning in Simulated Nuclear Crises},
author={Payne, Kenneth},
journal={arXiv preprint},
year={2026}
}This work is licensed under CC BY-NC 4.0 (Creative Commons Attribution-NonCommercial 4.0 International).
You are free to share and adapt this material for non-commercial purposes, provided you give appropriate credit. For commercial licensing inquiries, contact Kenneth Payne.
See LICENSE for details.
Kenneth Payne - [institution/email to be added]