Automatic Track Generation for High-End Racing Games Using Evolutionary Computation

In this paper, we investigate the application of evolutionary computation to the automatic generation of tracks for high-end racing games. The idea underlying our approach is that diversity is a major source of challenge/interest for racing tracks and, eventually, might play a key role in contributi...

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Vydané v:	IEEE transactions on computational intelligence and AI in games. Ročník 3; číslo 3; s. 245 - 259
Hlavní autori:	Loiacono, D., Cardamone, L., Lanzi, P. L.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2011
Predmet:	Curvature Driving Encoding Entropy Evolutionary algorithms Evolutionary computation Games Genetic algorithms Humans Mathematical analysis multiobjective evolution procedural content generation Racing racing games racing tracks Shape Target tracking TORCS
ISSN:	1943-068X, 1943-0698
On-line prístup:	Získať plný text
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