title:  Towards automatic personalised content creation for racing games
creator: Togelius, Julian
creator: De Nardi, Renzo
creator: Lucas, Simon M.
subject: Artificial Intelligence
description: 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.
publisher: IEEE
date: 2007
type: Conference Paper
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/5573/1/Togelius2007Towards.pdf
identifier:   Togelius, Julian and De Nardi, Renzo and Lucas, Simon M.  (2007)  Towards automatic personalised content creation for racing games.  [Conference Paper]     
relation: http://cogprints.org/5573/