Adaptive computer game system using artificial neural networks

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Wong, K.W. (2008) Adaptive computer game system using artificial neural networks. In: 14th International Conference, ICONIP 2007, 13-16 November 2007, Kitakyushu, Japan pp. 675-682.

Link to Published Version: http://dx.doi.org/10.1007/978-3-540-69162-4_70
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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.

Item 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

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