Publikationer från Malmö universitet
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A Comparative Evaluation of Procedural Level Generators in the Mario AI Framework
Malmö högskola, Teknik och samhälle (TS).ORCID-id: 0000-0002-2644-2785
Vise andre og tillknytning
2014 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Evaluation is an open problem in procedural content generation research. The eld is now in a state where there is a glut of content generators, each serving di erent purposes and using a variety of techniques. It is difficult to understand, quantitatively or qualitatively, what makes one generator di erent from another in terms of its output. To remedy this, we have conducted a large-scale comparative evaluation of level generators for the Mario AI Benchmark, a research-friendly clone of the classic platform game Super Mario Bros. In all, we compare the output of seven different level generators from the literature, based on different algorithmic methods, plus the levels from the original Super Mario Bros game. To compare them, we have de ned six expressivity metrics, of which two are novel contributions in this paper. These metrics are shown to provide interestingly di erent characterizations of the level generators. The results presented in this paper, and the accompanying source code, is meant to become a benchmark against which to test new level generators and expressivity metrics.

sted, utgiver, år, opplag, sider
Society for the Advancement of the Science of Digital Games , 2014. s. 1-8
Emneord [en]
Procedural Content Generation, Level Generators
HSV kategori
Identifikatorer
URN: urn:nbn:se:mau:diva-16786Lokal ID: 17062OAI: oai:DiVA.org:mau-16786DiVA, id: diva2:1420300
Konferanse
Foundations of Digital Games 2014, Ft. Lauderdale, Florida, USA (2014)
Tilgjengelig fra: 2020-03-30 Laget: 2020-03-30 Sist oppdatert: 2022-06-27bibliografisk kontrollert
Inngår i avhandling
1. Patterns and procedural content generation in digital games: automatic level generation for digital games using game design patterns
Åpne denne publikasjonen i ny fane eller vindu >>Patterns and procedural content generation in digital games: automatic level generation for digital games using game design patterns
2016 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

The development of content in digital games, such as game worlds, quests, levels, 3D-models, and textures, is costly and time consuming. To address this, different approaches to automate the process of creating game content, often referred to as procedural content generation (PCG), has been suggested. However, PCG is a complex task and include challenges such as creating content with variation, coherent style, speed, and correctness. The research in the thesis is concerned with generating game content with the aid of game design patterns, both by establishing models and exploring different methods to generate actual game content for different games. The methods include implementations of evolutionary computation, i.e. a set of search-based approaches that searches for instances of game design patterns on different abstraction levels that make up Super Mario Bros. (SMB) levels and a learning algorithm implementation based on a model (n-grams) of patterns from the original SMB-game. The different generators were evaluated with metrics concerned with the expressive range of the generators and with user tests.

sted, utgiver, år, opplag, sider
Malmö university, Faculty of Technology and Society, 2016. s. 269
Serie
Studies in Computer Science ; 2
Emneord
Procedural Content Generation, Search-based, Genetic Algorithms, Digital Games, Design Patterns
HSV kategori
Identifikatorer
urn:nbn:se:mau:diva-7775 (URN)20371 (Lokal ID)978-91-7104-684-0 (ISBN)978-91-7104-685-7 (ISBN)20371 (Arkivnummer)20371 (OAI)
Disputas
2016-06-10, Niagara, NI:B0E15, Malmö, 13:00 (engelsk)
Opponent
Tilgjengelig fra: 2020-02-28 Laget: 2020-02-28 Sist oppdatert: 2022-06-27bibliografisk kontrollert

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