Towards automatic personalised content creation for racing games

Julian Togelius; Renzo De Nardi; Simon M. Lucas

doi:10.1109/CIG.2007.368106

Towards automatic personalised content creation for racing games

Julian Togelius, Renzo De Nardi, Simon M. Lucas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007
Pages	252-259
Number of pages	8
DOIs	https://doi.org/10.1109/CIG.2007.368106
State	Published - 2007
Event	2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007 - Honolulu, HI, United States Duration: Apr 1 2007 → Apr 5 2007

Publication series

Name	Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007

Other

Other	2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007
Country/Territory	United States
City	Honolulu, HI
Period	4/1/07 → 4/5/07

Keywords

Car racing
Content creation
Entertainment metrics
Evolution
Player modelling

ASJC Scopus subject areas

Artificial Intelligence
Electrical and Electronic Engineering
Computational Mathematics
Theoretical Computer Science

Access to Document

10.1109/CIG.2007.368106

Cite this

Togelius, J., De Nardi, R., & Lucas, S. M. (2007). Towards automatic personalised content creation for racing games. In Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007 (pp. 252-259). Article 4219051 (Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007). https://doi.org/10.1109/CIG.2007.368106

Towards automatic personalised content creation for racing games. / Togelius, Julian; De Nardi, Renzo; Lucas, Simon M.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007. 2007. p. 252-259 4219051 (Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Togelius, J, De Nardi, R & Lucas, SM 2007, Towards automatic personalised content creation for racing games. in Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007., 4219051, Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007, pp. 252-259, 2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007, Honolulu, HI, United States, 4/1/07. https://doi.org/10.1109/CIG.2007.368106

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AB - 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.

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Towards automatic personalised content creation for racing games

Abstract

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Other

Keywords

ASJC Scopus subject areas

Access to Document

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