References

1. Ammanabrolu, P., Cheung, W., Tu, D., Broniec, W., & Riedl, M. (2020). Bringing Stories Alive: Generating Interactive Fiction Worlds.

   • This paper discusses generating interactive fiction using AI, focusing on creating coherent and engaging narrative worlds, which could be useful for narrative generation in UnscriptedAdventures.
   • https://arxiv.org/pdf/2001.10161

2. Acharya, D., Mateas, M., & Wardrip-Fruin, N. (2021). Interviews Towards Designing Support Tools for TTRPG Game Masters.

   • A study that explores support tools for tabletop role-playing games (TTRPG), which could provide insights into how to design AI systems that assist in TTRPGs.
   • https://eis.ucsc.edu/papers/Acharya_ICIDS2021.pdf

3. Brown, T., et al. (2020). Language Models are Few-Shot Learners.

   • This paper introduces GPT-3 and discusses its few-shot learning capabilities, which are foundational to many current LLM applications like UnscriptedAdventures.
   • https://arxiv.org/pdf/2005.14165

4. Callison-Burch, C., et al. (2022). Dungeons and Dragons as a Dialogue Challenge for Artificial Intelligence.

   • This paper frames D&D as a dialogue challenge for AI, exploring how LLMs can predict player utterances based on game context, relevant to player interaction handling in UnscriptedAdventures.
   • https://aclanthology.org/2022.emnlp-main.637.pdf

5. Rameshkumar, R., & Bailey, P. (2020). Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset.

   • This paper presents a dataset from Dungeons and Dragons gameplay, exploring how AI can learn from real TTRPG dialogue. It’s a valuable resource for understanding how narrative AI can interact with complex human dialogue.
   • https://aclanthology.org/2020.acl-main.459.pdf

6. Louis, A., & Sutton, C. (2018). Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts.

   • This research focuses on learning from role-playing game transcripts to model character interactions, which could improve UnscriptedAdventures' ability to simulate realistic character actions.
   • https://aclanthology.org/N18-2111.pdf

7. Zhou, P., et al. (2023). I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons.

   • A study on using LLMs to model player intentions and theory of mind in D&D, which could inform how UnscriptedAdventures manages player decisions and in-game NPC responses.
   • https://aclanthology.org/2023.acl-long.624.pdf

8. Kreminski, M., Dickinson, M., Wardrip-Fruin, N., & Mateas, M. (2022). Loose Ends: A Mixed-Initiative Creative Interface for Playful Storytelling.

   • This paper discusses a creative storytelling interface where AI collaborates with human writers. It offers insights into mixed-initiative systems relevant to collaborative storytelling in UnscriptedAdventures.
   • https://ojs.aaai.org/index.php/AIIDE/article/view/21955/21724

9. Samuel, B., Mateas, M., & Wardrip-Fruin, N. (2016). The Design of Writing Buddy: A Mixed-Initiative Approach Towards Computational Story Collaboration.

   • Describes a co-writing system that could inspire the development of AI-assisted story generation in UnscriptedAdventures.
   • http://www.ben-samuel.com/wp-content/uploads/2016/09/icids-2016-prototype.pdf

10. Perez, M. R. B., Eisemann, E., & Bidarra, R. (2021). A Synset-Based Recommender Method for Mixed-Initiative Narrative World Creation.

    • A recommender system for narrative world creation, relevant to the dynamic world-building in UnscriptedAdventures.
    • https://link.springer.com/content/pdf/10.1007/978-3-030-92300-6.pdf

11. Newman, P., & Liu, Y. (2022). Generating Descriptive and Rules-Adhering Spells for Dungeons & Dragons Fifth Edition.

    • Discusses generating in-game spells adhering to D&D rules, which could be applied to the mechanics generation in UnscriptedAdventures.
    • https://aclanthology.org/2022.games-1.7.pdf

12. Yuan, Y., Cao, J., Wang, R., & Yarosh, S. (2021). Tabletop Games in the Age of Remote Collaboration: Design Opportunities for a Socially Connected Game Experience.

    • This paper discusses the shift to online TTRPG play during the COVID-19 pandemic and could provide insights into designing engaging online experiences for single-player RPGs.
    • https://dl.acm.org/doi/pdf/10.1145/3411764.3445512

13. Zhu, A., Martin, L., Head, A., & Callison-Burch, C. (2023). CALYPSO: LLMs as Dungeon Master's Assistants.

    • This paper presents the CALYPSO system, a tool to assist Dungeon Masters with real-time support in generating encounters, narrative guidance, and maintaining narrative consistency. It provides useful insights for designing LLM-based RPG systems like UnscriptedAdventures.
    • https://arxiv.org/pdf/2308.07540