Summary of Open Role-playing with Delta-engines, by Hongqiu Wu et al.
Open Role-Playing with Delta-Engines
by Hongqiu Wu, Zekai Xu, Tianyang Xu, Shize Wei, Yan Wang, Jiale Hong, Weiqi Wu, Hai Zhao
First submitted to arxiv on: 11 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Human-Computer Interaction (cs.HC)
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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 propose open role-playing games (ORPGs) that allow players to craft and embody unique characters through natural language inputs. The goal is to empower players to make choices that shape their character’s growth, mirroring real-life experiences where individuals grow into distinct personalities due to varied life choices. To achieve this, the authors introduce a novel engine called Delta-Engine, comprising a base engine and a neural proxy (LLM). This LLM generates new code snippets on the base engine incrementally, enabling character growth. The paper presents a specific ORPG based on the popular “Pokémon” series, demonstrating out-of-domain role data generation and performance evaluation of the Delta-Engine. While the results are specific, they aim to provide general insights for future games. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary In this study, scientists created a new type of game where players can be themselves or create their own characters. The goal is to make the game feel more realistic by letting players choose what makes their character grow and change over time. To do this, they developed a special engine that uses artificial intelligence (AI) to generate new elements in the game based on what the player chooses. This allows for unique characters with their own personalities and stories. The researchers tested their system using a popular “Pokémon” game and found it worked well. |
