Adaptive computer game system using artificial neural networks
Tools
Tools
Tools
Wong, K.W. (2008) Adaptive computer game system using artificial neural networks. In: 14th International Conference, ICONIP 2007, 13-16 November 2007, Kitakyushu, Japan.
Link to Published Version: http://dx.doi.org/10.1007/978-3-540-69162-4_70
*Subscription may be required
*Subscription may be required
Google Books Preview: http://books.google.com/books?id=noYjY8rMilEC&prin...
*Open access. Some pages may not be available
*Open access. Some pages may not be available
Abstract
In this paper, we examine the use of Artificial Neural Networks (ANNs) for designing an adaptive computer game system. This adaptive computer game system will enhance the game play experience of a player by adopting the concept of player centred game design. In this paper, the ANN is used to handle the dynamic difficulty level adjustment for each individual player. The difficulty level for each player can be customised using the proposed method, thus allowing game player to have a more personalised game play experience.
| Publication Type: | Conference Paper |
|---|---|
| Murdoch Affiliation: | School of Information Technology |
| Publisher: | Springer-Verlag |
| Copyright: | © 2008 Springer-Verlag Berlin Heidelberg. |
| URI: | http://researchrepository.murdoch.edu.au/id/eprint/974 |
| Item Control Page |
