Imagen de Portada

Procedural Content Generation in Games: A Survey with Insights on Emerging LLM Integration

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Maleki, Mahdi Farrokhi, Zhao, Richard
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The Procedural Content Generation Benchmark: An Open-source Testbed for Generative Challenges in Games
por: Khalifa, Ahmed, et al.
Publicado: (2025)

Runtime Evaluation of Procedural Content Generation in an Endless Runner Game Using Autonomous Agents
por: Kar, Rishabh
Publicado: (2026)

High Dimensional Procedural Content Generation
por: Xu, Kaijie, et al.
Publicado: (2026)

Zero-shot 3D Map Generation with LLM Agents: A Dual-Agent Architecture for Procedural Content Generation
por: Her, Lim Chien, et al.
Publicado: (2025)

GameTileNet: A Semantic Dataset for Low-Resolution Game Art in Procedural Content Generation
por: Chen, Yi-Chun, et al.
Publicado: (2025)

The Illusion of Procedural Reasoning: Measuring Long-Horizon FSM Execution in LLMs
por: Samiei, Mahdi, et al.
Publicado: (2025)

Procedural Content Generation via Generative Artificial Intelligence
por: Mao, Xinyu, et al.
Publicado: (2024)

Towards Objective Metrics for Procedurally Generated Video Game Levels
por: Beukman, Michael, et al.
Publicado: (2022)

Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement
por: Forouzandeh, Saman, et al.
Publicado: (2025)

ChatPCG: Large Language Model-Driven Reward Design for Procedural Content Generation
por: Baek, In-Chang, et al.
Publicado: (2024)

All Stories Are One Story: Emotional Arc Guided Procedural Game Level Generation
por: Wen, Yunge, et al.
Publicado: (2025)

PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning
por: Baek, In-Chang, et al.
Publicado: (2025)

Managing Uncertainty in LLM-Generated Procedural Knowledge for Virtual Laboratory Planning
por: Karpodinis, Polychronis, et al.
Publicado: (2026)

Multi-Objective Instruction-Aware Representation Learning in Procedural Content Generation RL
por: Kim, Sung-Hyun, et al.
Publicado: (2025)

Emerging Synergies in Causality and Deep Generative Models: A Survey
por: Zhou, Guanglin, et al.
Publicado: (2023)

Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Survey
por: Habiba, Mansura, et al.
Publicado: (2024)

TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents
por: Wang, Dawei, et al.
Publicado: (2026)

SurveyEval: Towards Comprehensive Evaluation of LLM-Generated Academic Surveys
por: Zhao, Jiahao, et al.
Publicado: (2025)

PANGeA: Procedural Artificial Narrative using Generative AI for Turn-Based Video Games
por: Buongiorno, Steph, et al.
Publicado: (2024)

Improving Procedural Skill Explanations via Constrained Generation: A Symbolic-LLM Hybrid Architecture
por: Dass, Rahul, et al.
Publicado: (2025)

Moonshine: Distilling Game Content Generators into Steerable Generative Models
por: Nie, Yuhe, et al.
Publicado: (2024)

Mazocarta: A Seeded Procedural Deckbuilder for Instrumented Game Development
por: Cogan, Timothy C.
Publicado: (2026)

A Survey of Retrieval Algorithms in Ad and Content Recommendation Systems
por: Zhao, Yu, et al.
Publicado: (2024)

Procedural Knowledge Improves Agentic LLM Workflows
por: Hsiao, Vincent, et al.
Publicado: (2025)

Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking
por: Wang, Chen, et al.
Publicado: (2025)

LLM Inference Unveiled: Survey and Roofline Model Insights
por: Yuan, Zhihang, et al.
Publicado: (2024)

GameUIAgent: An LLM-Powered Framework for Automated Game UI Design with Structured Intermediate Representation
por: Zeng, Wei, et al.
Publicado: (2026)

CityX: Controllable Procedural Content Generation for Unbounded 3D Cities
por: Zhang, Shougao, et al.
Publicado: (2024)

Evaluating the Diversity and Quality of LLM Generated Content
por: Shypula, Alexander, et al.
Publicado: (2025)

Concept Generalization in Humans and Large Language Models: Insights from the Number Game
por: Bazigaran, Arghavan, et al.
Publicado: (2025)

A Comprehensive Survey on 3D Content Generation
por: Liu, Jian, et al.
Publicado: (2024)

General Modular Harness for LLM Agents in Multi-Turn Gaming Environments
por: Zhang, Yuxuan, et al.
Publicado: (2025)

Pairing Analogy-Augmented Generation with Procedural Memory for Procedural Q&A
por: Roth, K, et al.
Publicado: (2024)

A Survey on the Integration of Generative AI for Critical Thinking in Mobile Networks
por: Karapantelakis, Athanasios, et al.
Publicado: (2024)

An Integrated Approach to AI-Generated Content in e-health
por: Ahmed, Tasnim, et al.
Publicado: (2025)

SurveyG: A Multi-Agent LLM Framework with Hierarchical Citation Graph for Automated Survey Generation
por: Nguye, Minh-Anh, et al.
Publicado: (2025)

BLINKG: A Benchmark for LLM-Integrated Knowledge Graph Generation
por: Castedo, Carla, et al.
Publicado: (2026)

Leveraging AI to Generate Audio for User-generated Content in Video Games
por: Marrinan, Thomas, et al.
Publicado: (2024)

Diffusion Models: A Mathematical Introduction
por: Maleki, Sepehr, et al.
Publicado: (2025)

Game Generation via Large Language Models
por: Hu, Chengpeng, et al.
Publicado: (2024)