Summary of Procedural Content Generation in Games: a Survey with Insights on Emerging Llm Integration, by Mahdi Farrokhi Maleki and Richard Zhao
Procedural Content Generation in Games: A Survey with Insights on Emerging LLM Integration
by Mahdi Farrokhi Maleki, Richard Zhao
First submitted to arxiv on: 21 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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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 A deep dive into Procedural Content Generation (PCG), a technique for automatically creating game content using algorithms. The field has seen significant advancements in both industry and academia, boosting player engagement and simplifying game design tasks. Recent breakthroughs in deep learning-based approaches have enabled the creation of more complex content. However, the arrival of Large Language Models (LLMs) is what’s truly revolutionized PCG. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary PCG helps make games more fun by creating new levels or missions on the fly! This way, players never get bored with the same old game over and over. It also makes life easier for game designers who don’t have to come up with all the ideas themselves. In recent years, super-smart computers (like LLMs) are making it even better at creating more exciting content. |
Keywords
» Artificial intelligence » Boosting » Deep learning
