Fuzzy Ensembles for Embedding Adaptive Behaviours in Semi-Autonomous Avatars in 3D Virtual Worlds
Wall, J., Izquierdo, E. and Zhang, Q. 2013. Fuzzy Ensembles for Embedding Adaptive Behaviours in Semi-Autonomous Avatars in 3D Virtual Worlds. in: Proceedings 2013 18th International Conference on Digital Signal Processing (DSP) IEEE. pp. 1-6
|Authors||Wall, J., Izquierdo, E. and Zhang, Q.|
Semi-autonomous avatars should be both realistic and believable. The goal is to learn from and reproduce the behaviours of the user-controlled input to enable semi-autonomous avatars to plausibly interact with their human-controlled counterparts. A powerful tool for embedding autonomous behaviour is learning by imitation. Hence, in this paper an ensemble of fuzzy inference systems cluster the user input data to identify natural groupings within the data to describe the users movement and actions in a more abstract way. Multiple clustering algorithms are investigated along with a neuro-fuzzy classifier; and an ensemble of fuzzy systems are evaluated.
|Keywords||fuzzy ensembles; fuzzy inference system; semi-autonomous avatar; virtual environments|
|Book title||Proceedings 2013 18th International Conference on Digital Signal Processing (DSP)|
|Publication process dates|
|Deposited||03 Dec 2015|
|Event||2013 18th International Conference on Digital Signal Processing (DSP)|
|Digital Object Identifier (DOI)||https://doi.org/10.1109/ICDSP.2013.6622818|
|Web address (URL)||http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6622818&tag=1|
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|Accepted author manuscript|
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