@misc{cogprints5573,
           title = { Towards automatic personalised content creation for racing games},
          author = {Julian Togelius and Renzo De Nardi and Simon M. Lucas},
       publisher = {IEEE},
            year = {2007},
        keywords = {Games, Car Racing, Evolution, Neural Networks},
             url = {http://cogprints.org/5573/},
        abstract = {Evolutionary algorithms are commonly used to create high-performing strategies or agents for computer games.
In this paper, we instead choose to evolve the racing tracks
in a car racing game. An evolvable track representation is
devised, and a multiobjective evolutionary algorithm maximises the entertainment value of the track relative to a particular human player. This requires a way to create accurate models of players' driving styles, as well as a tentative definition of when a racing track is fun, both of which are provided. We believe this approach opens up interesting new research questions and is potentially applicable to commercial racing games.}
}

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