Summary of Open-ended Wargames with Large Language Models, by Daniel P. Hogan et al.
Open-Ended Wargames with Large Language Models
by Daniel P. Hogan, Andrea Brennen
First submitted to arxiv on: 17 Apr 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces “Snow Globe,” an artificial intelligence (AI) powered multi-agent system for playing qualitative wargames. This system uses large language models to enable automated play, going beyond human-conducted games by allowing for multiple scenarios and outcomes. The authors focus on quantitative games in the past, but Snow Globe makes it possible to automate qualitative wargames. The system’s architecture is described conceptually, and an open-source implementation is released alongside this publication. As case studies, the authors simulate a tabletop exercise about AI incident response and a political wargame about a geopolitical crisis. This approach has potential applications in the broader wargaming ecosystem. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about using artificial intelligence to play wargames. Wargames are like big simulations that help people make decisions. The AI can play the game many times and show different possible outcomes. There are two types of wargames: ones with clear moves, and ones where you have to come up with your own ideas. For a long time, people focused on using AI for games with clear moves, but now they can use AI for games that require more creativity. The paper introduces a new way to play these creative games called “Snow Globe.” Snow Globe uses special computer models to help play the game and analyze it afterwards. The authors show how this works by playing out two different scenarios: one about responding to an AI problem, and another about a big political crisis. |
