A Comparative Evaluation of Procedural Level Generators in the Mario AI Framework

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A Comparative Evaluation of Procedural Level Generators in the Mario AI Framework

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Publication Conference Paper, peer reviewed
Title A Comparative Evaluation of Procedural Level Generators in the Mario AI Framework
Author(s) Horn, Britton ; Dahlskog, Steve ; Shaker, Noor ; Smith, Gillian ; Togelius, Julian
Date 2014
English abstract
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.
Publisher Society for the Advancement of the Science of Digital Games
Pages 1-8
Language swe (iso)
Subject(s) Procedural Content Generation
Level Generators
Technology
Research Subject Categories::TECHNOLOGY
Note Foundations of Digital Games 2014, Ft. Lauderdale, Florida, USA. April 3rd-7th 2014
Handle http://hdl.handle.net/2043/17062 (link to this page)
Link http://fdg2014.org (external link to related web page)

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