# PANGeA: Procedural Artificial Narrative using Generative AI for Turn-Based Video Games

*Source* · `src-buongiorno-2024-pangea` · status: **n/a**

| field | value |
|---|---|
| kind | Preprint |
| authors | Steph Buongiorno, Lawrence Jake Klinkert, Tanishq Chawla, Zixin Zhuang, Corey Clark |
| venue | arXiv |
| date | 2024-04-30 |
| url | https://arxiv.org/abs/2404.19721 |
| arxiv | 2404.19721 |
| accessed | 2026-10-24 |

## Notes

LLM generates settings, key items, and NPCs from designer criteria for turn-based RPGs; Big Five personality-biased NPCs; LLM validates free-text player input against the narrative; memory server with REST interface for any engine; tested in a custom GPT and a Unity demo.

## Backlinks (computed)

**cited by:** [LLM game master and narrative director](../technique/llm-game-master.md)

## Citation

Steph Buongiorno, Lawrence Jake Klinkert, Tanishq Chawla, Zixin Zhuang, Corey Clark (2024-04-30). *PANGeA: Procedural Artificial Narrative using Generative AI for Turn-Based Video Games*. arXiv https://arxiv.org/abs/2404.19721

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Provenance: created in run `2026-10-24-techniques-llm-agents`.