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No One Wins in Nuclear War: A Social Simulation of Military Decision-making

ArXiv · Glenn Matlin, Isaac Song, Anthony Wen-Ming Zang, Mark Riedl ·

Executive Summary

This paper introduces WOPR, a social-simulation environment designed to study high-stakes organizational decision-making, particularly in military contexts. Built on a deterministic, replay-validated rules engine, WOPR uses wargames like 'Nuclear War' to simulate strategic choices. It features a decision-point contract, a four-rung communication 'press ladder', and collective command-and-control archetypes for factions, enabling rigorous analysis of communication and C2 structures.

Why It Matters

This document is crucial for defense and geopolitical analysts as it presents a novel simulation environment (WOPR) for rigorously studying high-stakes military decision-making, including nuclear scenarios, and the impact of communication and command structures on strategic outcomes. It offers a verifiable and auditable platform for understanding complex adversarial interactions, which can inform policy and strategic planning.

Key Takeaways

  • WOPR is a deterministic, replay-validated social simulation environment for high-stakes decision-making, initially instantiated with the 'Nuclear War' card game.
  • The platform includes a 'press ladder' to vary communication constraints and four command-and-control archetypes to model collective decision-making within factions.
  • WOPR provides a verifiable rules engine and decision-point contract, allowing researchers to audit game outcomes and compare agent behaviors across different communication and C2 conditions.

Strategic Relevance

WOPR offers a robust, auditable platform for wargaming and simulating complex military decision-making, particularly in nuclear contexts. Its ability to model communication constraints and diverse command-and-control structures provides critical insights into strategic stability, escalation risks, and the impact of organizational dynamics on high-stakes outcomes. This can inform doctrine development, policy analysis, and understanding of adversarial behavior.

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Key Entities

WOPRNuclear War (card game)Georgia Institute of TechnologyConcordiaLLM agentsCommand and ControlSocial SimulationMilitary Decision-makingAI Safety InitiativePress Ladder

Best For

Defense AnalystsWargaming SpecialistsPolicy MakersAI ResearchersStrategic Planners

Related Themes

WargamingNuclear DeterrenceCommand and Control (C2)Strategic Decision-makingAI in WarfareSocial Simulation

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