Evolving Levels for Super Mario Bros Using Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.7662

@InProceedings{conf/cig/shakerNYTO2012,

• author = "Noor Shaker and Miguel Nicolau and Georgios N. Yannakakis and Julian Togelius and Michael O'Neill",
• title = "Evolving Levels for {Super Mario Bros} Using Grammatical Evolution",
• booktitle = "IEEE Conference on Computational Intelligence and Games CIG 2012",
• pages = "304--311",
• year = "2012",
• address = "Granada, Spain",
• month = "11-14 " # sep,
• DOI = "doi:10.1109/CIG.2012.6374170",
• isbn13 = "978-1-4673-1192-2",
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• abstract = "This paper presents the use of design grammars to evolve playable 2D platform levels through grammatical evolution (GE). Representing levels using design grammars allows simple encoding of important level design constraints, and allows remarkably compact descriptions of large spaces of levels. The expressive range of the GE-based level generator is analysed and quantitatively compared to other feature-based and the original level generators by means of aesthetic and similarity based measures. The analysis reveals strengths and shortcomings of each generator and provides a general framework for comparing content generated by different generators. The approach presented can be used as a tool by game designers to compare and analyze generators' capabilities within the same game genre.",

}

Genetic Programming entries for Noor Shaker Miguel Nicolau Georgios N Yannakakis Julian Togelius Michael O'Neill

Citations