The Quest for Content: A Survey of Search-Based Procedural Content Generation for Video Games

2023/11/08 by Mar Zamorano, Zamorano, Mar, Carlos Cetina +3
Computer Science · Psychology · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Digital Games and Media #Educational Games and Gamification #FOS: Computer and information sciences #Software Engineering (cs.SE)

paper · pdf · doi:10.48550/arxiv.2311.04710

openalex publication_date 2023/11/08 · openalex created_date 2023/11/11 · openalex updated_date 2026/07/28

Abstract

Video games demand is constantly increasing, which requires the costly production of large amounts of content. Towards this challenge, researchers have developed Search-Based Procedural Content Generation (SBPCG), that is, the (semi-)automated creation of content through search algorithms. We survey the current state of SBPCG, reporting work appeared in the field between 2011-2022 and identifying open research challenges. The results lead to recommendations for practitioners and to the identification of several potential future research avenues for SBPCG.

Related

• Search-Based Procedural Content Generation: A Taxonomy and Survey
• Deep Learning for Procedural Content Generation
• Procedural Content Generation via Machine Learning (PCGML)
• The Procedural Content Generation Benchmark: An Open-source Testbed for Generative Challenges in Games
• Learning-Based Procedural Content Generation