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docs: finalized wiki integrity maintenance (v3.0 standard) - pruned 1400+ stubs and fixed 11k+ ghost links

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10_Wiki/Topics_Blog/PCGML-Frameworks.md
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@@ -6,7 +6,7 @@ tags: [auto-reinforced, pcg, machine-learning, game-dev, generative-ai]
last_reinforced: 2026-04-20
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# [[PCGML-Frameworks]]
# [[PCGML-Frameworks|PCGML-Frameworks]]
## 📌 한 줄 통찰 (The Karpathy Summary)
> "코딩한 규칙 대신 데이터에서 게임을 배운다: 머신러닝 알고리즘을 활용하여 기존 게임 레벨의 패턴을 학습하고, 무한히 새로운 스테이지를 생성해내는 차세대 콘텐츠 제작 도구."
@@ -29,6 +29,6 @@ PCGML(Procedural Content Generation via Machine Learning) 프레임워크는 명
- **정책 변화(RL Update)**: AI가 생성한 자산의 저작권 및 '자산 도용' 이슈가 불거짐에 따라, 기업 내 PCGML 도입 시 학습 데이터의 투명성 확보와 인간 개발자의 '최종 승인(Human-in-the-loop)' 프로세스를 포함하는 AI 거버넌스가 정책화됨.
## 🔗 지식 연결 (Graph)
- **Related**: [[Procedural Content Generation via Machine Learning (PCGML)]], Foundational Models, Neural-Symbolic AI, [[Reinforcement Learning for Automated Playtesting]]
- **Related**: [[Procedural Content Generation via Machine Learning (PCGML)|Procedural Content Generation via Machine Learning (PCGML)]], Foundational Models, Neural-Symbolic AI, [[Reinforcement Learning for Automated Playtesting|Reinforcement Learning for Automated Playtesting]]
- **Modern Tech/Tools**: Unity Sentis, Nvidia Omniverse, Procedural Arts Frameworks.
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