Results 11 to 20 of about 8,184,125 (278)

What is procedural content generation? [PDF]

open access: yesProceedings of the 2nd International Workshop on Procedural Content Generation in Games, 2011
We try to clarify the concept of procedural content generation (PCG) through contrasting it to other forms of content generation in games with which it could easily be mistaken, and through discussing some properties of PCG which are sometimes thought of as necessary but are actually not. After drawing up some clear demarcations for what is and what is
Togelius, Julian   +4 more
openaire   +4 more sources

Deep learning for procedural content generation [PDF]

open access: yesNeural Computing and Applications, 2020
Procedural content generation in video games has a long history. Existing procedural content generation methods, such as search-based, solver-based, rule-based and grammar-based methods have been applied to various content types such as levels, maps, character models, and textures.
Jialin Liu 0001   +5 more
openaire   +7 more sources

Procedural Content Generation in Games

open access: yes, 2016
This book presents the most up-to-date coverage of procedural content generation (PCG) for games, specifically the procedural generation of levels, landscapes, items, rules, quests, or other types of content.
Noor Shaker   +2 more
core   +7 more sources

Search-Based Procedural Content Generation [PDF]

open access: yes, 2010
Recently, a small number of papers have appeared in which the authors implement stochastic search algorithms, such as evolutionary computation, to generate game content, such as levels, rules and weapons. We propose a taxonomy of such approaches, centring on what sort of content is generated, how the content is represented, and how the quality of the ...
Togelius, Julian   +4 more
core   +6 more sources

Procedural content generation for landscapes [PDF]

open access: yes, 2021
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2021, Director: Anna Puig ...
Barrio Morra, Francisco
core   +4 more sources

Procedural Content Generation [PDF]

open access: yes
Рассмотрена процедурная генерация контента, алгоритмы процедурной генерации, преимущества их использования в разработке программного обеспечения, области их применения, существующие подходы и методы их оптимизации.This article discusses procedural ...
Georgios N. Yannakakis, Julian Togelius
core   +4 more sources

Learning-Based Procedural Content Generation [PDF]

open access: yesIEEE Transactions on Computational Intelligence and AI in Games, 2015
13 pages, 9 figures, manuscript submitted to IEEE Transactions on Computational Intelligence and AI Games (Also a technical report, School of Computer Science, The University of Manchester)
Jonathan Roberts 0003, Ke Chen 0001
openaire   +7 more sources

Exhaustive and Semi-Exhaustive Procedural Content Generation

open access: yesProceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2018
Within the area of procedural content generation (PCG) there are a wide range of techniques that have been used to generate content. Many of these techniques use traditional artificial intelligence approaches, such as genetic algorithms, planning, and answer-set programming.
Nathan R. Sturtevant, Matheus Jun Ota
openaire   +3 more sources

An Adjectival Interface for Procedural Content Generation [PDF]

open access: yes, 2009
This paper presents a novel interface for generating procedural models, textures, and other content, motivated by the need for interfaces that are simpler to understand and more rapidly utilize.
Cairns, David   +5 more
core   +4 more sources

Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning [PDF]

open access: yes2021 IEEE Conference on Games (CoG), 2021
The idea of transfer in reinforcement learning (TRL) is intriguing: being able to transfer knowledge from one problem to another problem without learning everything from scratch. This promises quicker learning and learning more complex methods. To gain an insight into the field and to detect emerging trends, we performed a database search.
Müller-Brockhausen, M.F.T.   +2 more
openaire   +5 more sources

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