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Towards automatic personalised content creation for racing games

Togelius, J; De Nardi, R; 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
URI: http://discovery.ucl.ac.uk/id/eprint/95483
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