Summary of You Have Thirteen Hours in Which to Solve the Labyrinth: Enhancing Ai Game Masters with Function Calling, by Jaewoo Song et al.
You Have Thirteen Hours in Which to Solve the Labyrinth: Enhancing AI Game Masters with Function Calling
by Jaewoo Song, Andrew Zhu, Chris Callison-Burch
First submitted to arxiv on: 11 Sep 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 In this paper, researchers tackle the challenge of developing a reliable AI game master for text-based games by leveraging function calling in the context of “Jim Henson’s Labyrinth: The Adventure Game.” They propose an innovative approach that integrates game-specific controls through functions to improve the narrative quality and state update consistency of the AI game master. Experimental results show that this methodology enhances gameplay experience and maintains coherence with the game state, making it a valuable contribution to the advancement of game AI and interactive storytelling. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps create a better AI game master for text-based games by using special instructions called “functions.” It works on a specific game called “Labyrinth,” which is like a role-playing game where players make choices. The researchers show that their method makes the game more fun and keeps track of what’s happening in the game correctly. This is important because it helps us create better AI-powered games. |
