"5573"," Towards automatic personalised content creation for racing games","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.","http://cogprints.org/5573/","Togelius, Julian and De Nardi, Renzo and Lucas, Simon M.","UNSPECIFIED","       <span class=\"person_name\">Togelius, Julian</span> and <span class=\"person_name\">De Nardi, Renzo</span> and <span class=\"person_name\">Lucas, Simon M.</span>     (2007)  <a href=\"http://cogprints.org/5573/\"><em> Towards automatic personalised content creation for racing games.</em></a>       [Conference Paper]           ","","2007"