Title :
An adaptive methodology for synthesising mobile phone games using genetic algorithms
Author :
Verma, Milan A. ; McOwan, Peter W.
Author_Institution :
London Univ.
Abstract :
This paper details an adaptive methodology that uses a genetic algorithm (GA) to deliver variations of a given mobile phone video game. The adaptive methodology uses the GA to generate an easier or harder game based on user-feedback of the desired level of difficulty. Game parameters are synthesised using empirically determined human user characteristics. The paper presents the results of a pilot study that confirm the success of the approach described herein
Keywords :
computer games; genetic algorithms; mobile computing; mobile handsets; adaptive methodology; genetic algorithm; mobile phone video game synthesis; user-feedback; Artificial intelligence; Explosions; Feedback; Games; Genetic algorithms; Humans; Java; Microcomputers; Mobile handsets; Sun;
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Conference_Location :
Edinburgh, Scotland
Print_ISBN :
0-7803-9363-5
DOI :
10.1109/CEC.2005.1554774