Copertina

Procedural Content Generation via Generative Artificial Intelligence

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mao, Xinyu, Yu, Wanli, Yamada, Kazunori D, Zielewski, Michael R.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning Random Numbers to Realize Appendable Memory System for Artificial Intelligence to Acquire New Knowledge after Deployment
di: Yamada, Kazunori D
Pubblicazione: (2024)

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

Constitutive Components for Human-Like Autonomous Artificial Intelligence
di: Yamada, Kazunori D
Pubblicazione: (2025)

Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation
di: Hodel, Michael
Pubblicazione: (2024)

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

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning
di: Straka, Matej, et al.
Pubblicazione: (2025)

ARC-GEN: A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpus
di: Moffitt, Michael D.
Pubblicazione: (2025)

Causal Bias Detection in Generative Artificial Intelligence
di: Plecko, Drago
Pubblicazione: (2026)

SMGI: A Structural Theory of General Artificial Intelligence
di: Osmani, Aomar
Pubblicazione: (2026)

Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems
di: Gupta, Rajeev, et al.
Pubblicazione: (2025)

When Generative Artificial Intelligence meets Extended Reality: A Systematic Review
di: Ning, Xinyu, et al.
Pubblicazione: (2025)

Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture
di: Yang, Zhengxin, et al.
Pubblicazione: (2024)

Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond
di: Guo, Kehan, et al.
Pubblicazione: (2025)

Procedural Generation of Algorithm Discovery Tasks in Machine Learning
di: Goldie, Alexander D., et al.
Pubblicazione: (2026)

Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist
di: Ning, Yilin, et al.
Pubblicazione: (2023)

The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles
di: Zhang, Hanwen, et al.
Pubblicazione: (2024)

An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications
di: Garrido-Merchán, Eduardo C., et al.
Pubblicazione: (2023)

Understanding Generative AI Content with Embedding Models
di: Vargas, Max, et al.
Pubblicazione: (2024)

Diffusion-TS: Interpretable Diffusion for General Time Series Generation
di: Yuan, Xinyu, et al.
Pubblicazione: (2024)

Probabilistic Artificial Intelligence
di: Krause, Andreas, et al.
Pubblicazione: (2025)

Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles
di: Zhang, Hanwen, et al.
Pubblicazione: (2025)

General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance
di: Triguero, Isaac, et al.
Pubblicazione: (2023)

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
di: Xu, Wanghan, et al.
Pubblicazione: (2024)

Generative Artificial Intelligence for Navigating Synthesizable Chemical Space
di: Gao, Wenhao, et al.
Pubblicazione: (2024)

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
di: Yang, Xinyu, et al.
Pubblicazione: (2025)

Toward an Artificial General Teacher: Procedural Geometry Data Generation and Visual Grounding with Vision-Language Models
di: Nguyen-Truong, Hai, et al.
Pubblicazione: (2026)

Synthetic Data Generation for Residential Load Patterns via Recurrent GAN and Ensemble Method
di: Liang, Xinyu, et al.
Pubblicazione: (2024)

Open-Endedness is Essential for Artificial Superhuman Intelligence
di: Hughes, Edward, et al.
Pubblicazione: (2024)

Governance of Generative Artificial Intelligence for Companies
di: Schneider, Johannes, et al.
Pubblicazione: (2024)

Generative Score Inference for Multimodal Data
di: Tian, Xinyu, et al.
Pubblicazione: (2026)

Artificial General Intelligence Forecasting and Scenario Analysis: State of the Field, Methodological Gaps, and Strategic Implications
di: Sarma, Gopal P., et al.
Pubblicazione: (2026)

Meta-GPT: Decoding the Metasurface Genome with Generative Artificial Intelligence
di: Dang, David, et al.
Pubblicazione: (2025)

The Phantom of PCIe: Constraining Generative Artificial Intelligences for Practical Peripherals Trace Synthesizing
di: Huang, Zhibai, et al.
Pubblicazione: (2024)

Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems
di: Guo, Ping, et al.
Pubblicazione: (2021)

Using Offline Data to Speed Up Reinforcement Learning in Procedurally Generated Environments
di: Andres, Alain, et al.
Pubblicazione: (2023)

A Methodology for Thermal Limit Bias Predictability Through Artificial Intelligence
di: Tunga, Anirudh, et al.
Pubblicazione: (2026)

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization
di: Yang, Kai, et al.
Pubblicazione: (2025)

Generative Distribution Prediction: A Unified Approach to Multimodal Learning
di: Tian, Xinyu, et al.
Pubblicazione: (2025)

Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis
di: Kaushik, Abhishek, et al.
Pubblicazione: (2025)

Engagement-Driven Content Generation with Large Language Models
di: Coppolillo, Erica, et al.
Pubblicazione: (2024)