TY  - GEN
ID  - cogprints5573
UR  - http://cogprints.org/5573/
A1  - Togelius, Julian
A1  - De Nardi, Renzo
A1  - Lucas, Simon M.
Y1  - 2007///
N2  - 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.
PB  - IEEE
KW  - Games
KW  -  Car Racing
KW  -  Evolution
KW  -  Neural Networks
TI  -  Towards automatic personalised content creation for racing games
AV  - public
ER  -

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