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Towards automatic personalised content creation for racing games

Togelius, Julian and De Nardi, Renzo and Lucas, Simon M. (2007) Towards automatic personalised content creation for racing games. [Conference Paper]

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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.

Item Type:Conference Paper
Keywords:Games, Car Racing, Evolution, Neural Networks
Subjects:Computer Science > Artificial Intelligence
ID Code:5573
Deposited By: De Nardi, Mr Renzo
Deposited On:28 May 2007
Last Modified:11 Mar 2011 08:56

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