The Evolution of Fun: A Generic Model of Video Game Challenge for Automatic Level Design

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@MastersThesis{Sorenson:mastersthesis,

• author = "Nathan Sorenson",
• title = "The Evolution of Fun: A Generic Model of Video Game Challenge for Automatic Level Design",
• school = "School of Interactive Arts and Technology, Simon Fraser University",
• year = "2010",
• type = "Master of Science",
• address = "Surrey, BC, Canada",
• month = dec # " 8",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://summit.sfu.ca/system/files/iritems1/11485/etd6326_NSorenson.pdf",
• size = "89 pages",
• abstract = "This thesis presents an approach to automatic video game level design consisting of a novel computational model of player enjoyment and a generative system based on evolutionary computing. The model is grounded in player experience research and game design theory and is used to estimate the entertainment value of game levels as a function of their constituent rhythm groups: alternating periods of high and low challenge. In comparison to existing, bottom-up techniques such as rule-based systems, the model affords a number of distinct advantages: it can be generalised to different types of games; it provides adjustable parameters representing semantically meaningful concepts such as difficulty and player skill; and it can facilitate mixed-initiative collaboration between the automated system and a human designer. The generative system represents a unique combination of genetic algorithms and constraint solving methods and leverages the model to create fun levels for two different games.",
• notes = "See also Sorenson:2010:EvoGAMES DOI:10.1007/978-3-642-12239-2_14",

}

Genetic Programming entries for Nathan Sorenson

Citations