A Short Introduction to Procedural Content Generation Algorithms for Videogames

被引：10
|
作者：
Barriga, Nicolas A. [1 ]
机构：
[1] Univ Talca, Sch Videogames Dev & Virtual Real Engn, 2 Norte 685, Talca, Region Del Maul, Chile
来源：
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS | 2019年 / 28卷 / 02期
关键词：
Procedural content generation; PCG; videogames; computer games; game design; DEEP NEURAL-NETWORKS; GAME; GO;
D O I：
10.1142/S0218213019300011
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
One of the main costs of developing a videogame is content creation. Procedural Content Generation (PCG) can help alleviate that cost by algorithmically generating some of the content a human would normally produce. We first describe and classify the different types of content that can be automatically generated for a videogame. Then, we review the most prominent PCG algorithms, focusing on current research on search-based and machine learning based methods. Finally, we close with our take on the most important open problems and the potential impact solving them will have on the videogame industry.
引用
收藏
页数：11
相关论文
共 50 条
  • [1] On balance and dynamism in procedural content generation with self-adaptive evolutionary algorithms
    Lara-Cabrera, Raul
    Cotta, Carlos
    Fernandez-Leiva, Antonio J.
    [J]. NATURAL COMPUTING, 2014, 13 (02) : 157 - 168
  • [2] On balance and dynamism in procedural content generation with self-adaptive evolutionary algorithms
    Raúl Lara-Cabrera
    Carlos Cotta
    Antonio J. Fernández-Leiva
    [J]. Natural Computing, 2014, 13 : 157 - 168
  • [3] Procedural music generation for videogames conditioned through video emotion recognition
    Zumerle, Francesco
    Comanduccit, Luca
    Zanonit, Massimiliano
    Bernardinit, Alberto
    Antonaccit, Fabio
    Sartit, Augusto
    [J]. 2023 4TH INTERNATIONAL SYMPOSIUM ON THE INTERNET OF SOUNDS, 2023, : 50 - 57
  • [4] Algorithms for procedural generation and display of trees
    Nuic, H.
    Mihajlovic, Z.
    [J]. 2019 42ND INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2019, : 230 - 235
  • [5] Automatic level generation for platform videogames using Genetic Algorithms
    Mourato, Fausto
    dos Santos, Manuel Prospero
    Birra, Fernando
    [J]. PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER ENTERTAINMENT TECHNOLOGY (ACE 2011), 2011,
  • [6] An Adjectival Interface for Procedural Content Generation
    Hultquist, Carl
    Gain, James
    Cairns, David
    [J]. INTELLIGENT COMPUTER GRAPHICS 2009, 2009, 240 : 143 - +
  • [7] Procedural Content Generation for Games: A Survey
    Hendrikx, Mark
    Meijer, Sebastiaan
    van der Velden, Joeri
    Iosup, Alexandru
    [J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2013, 9 (01)
  • [8] Deep learning for procedural content generation
    Liu, Jialin
    Snodgrass, Sam
    Khalifa, Ahmed
    Risi, Sebastian
    Yannakakis, Georgios N.
    Togelius, Julian
    [J]. NEURAL COMPUTING & APPLICATIONS, 2021, 33 (01): : 19 - 37
  • [9] Deep learning for procedural content generation
    Jialin Liu
    Sam Snodgrass
    Ahmed Khalifa
    Sebastian Risi
    Georgios N. Yannakakis
    Julian Togelius
    [J]. Neural Computing and Applications, 2021, 33 : 19 - 37
  • [10] FANTASTIC AND VIDEOGAMES INTRODUCTION
    Tosca, Susana
    [J]. BRUMAL-RESEARCH JOURNAL ON THE FANTASTIC, 2015, 3 (01): : 7 - 12
12345