In this paper, an approach is advocated to use a hybrid approach towards learning behaviour for computer generated entities (CGEs) in a serious gaming setting. Hereby, an agent equipped with cognitive model is used but this agent is enhanced with Machine Learning (ML) capabilities. This facilitates the agent to exhibit human like behaviour but avoid an expert having to define all parameters explicitly. More in particular, the ML approach utilizes co-evolution as a learning paradigm. An evaluation in the domain of one-versus-one air combat shows promising results.
|Journal||Lecture Notes in Computer Science|
|Publication status||Published - 2014|
|Event||27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems - |
Duration: 3 Jun 2014 → 6 Jun 2014
Bibliographical noteProceedings title: Modern Advances in Applied Intelligence
Publisher: Springer International Publishing
Editors: M Ali, JS Pan, SM Chen, MF Horng