Togelius, J and De Nardi, R and Lucas, SM (2007) Towards automatic personalised content creation for racing games. In: 2007 IEEE Symposium on Computational Intelligence and Games. (pp. 252 - 259). IEEE
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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.
| Type: | Proceedings paper |
|---|---|
| Title: | Towards automatic personalised content creation for racing games |
| Event: | IEEE Symposium on Computational Intelligence and Games |
| Location: | Honolulu, HI |
| Dates: | 2007-04-01 - 2007-04-05 |
| ISBN-13: | 978-1-4244-0709-5 |
| Keywords: | car racing, player modelling, entertainment metrics, content creation, evolution |
| UCL classification: | UCL > School of BEAMS > Faculty of Engineering Science > Computer Science |
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