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

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@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