Title :
Racing tracks improvisation
Author :
Jiao Jian Wang ; Missura, Olana
Author_Institution :
Univ. of Bonn, Bonn, Germany
Abstract :
Procedural content generation is a popular technique in the game development. One of its typical applications is generation of game levels. This paper presents a method to generate tracks for racing games, by viewing racing track generation as a discrete sequence prediction problem. To solve it we combine two techniques from music improvisation. We show that this method is capable of generating new racing tracks which appear to be interesting.
Keywords :
Markov processes; computer games; discrete sequence prediction problem; music improvisation; procedural content generation; racing game development; racing track generation; racing track improvisation; variable-order Markov model; Context; Dictionaries; Games; Generators; Markov processes; Prediction algorithms; Training;
Conference_Titel :
Computational Intelligence and Games (CIG), 2014 IEEE Conference on
Conference_Location :
Dortmund
DOI :
10.1109/CIG.2014.6932899
