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Wolverhampton Intellectual Repository and E-Theses > School of Technology > School of Computing and IT > Game Simulation and Artificial Intelligence Centre (GSAI) > Online Learning From Observation For Interactive Computer Games

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/34172
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Title: Online Learning From Observation For Interactive Computer Games
Other Titles: Proceedings of CGAIMS’2005
Games
Authors: Hartley, Thomas
Mehdi, Qasim
Gough, Norman
Citation: In: Mehdi, Q., Gough, N. and Elmaghraby, A. (Eds), Proceedings of CGAIMS’2005. 6th International Conference on Computer Games: Artificial Intelligence and Mobile Systems, 27-30 July 2005, Louisville, Kentucky, USA.
Publisher: University of Wolverhampton, School of Computing and Information Technology
Issue Date: 2005
URI: http://hdl.handle.net/2436/34172
Additional Links: http://www.cgames.org/
http://www.wlv.ac.uk/Default.aspx?page=14750
Abstract: The research presented in this paper describes an architecture, which enables an agent to predict an observed entity’s actions (most likely a human’s) online. Case-based approaches have been utilised by a number of researchers for online action prediction in interactive applications. Our architecture builds on these works and provides a number of novel contributions. Specifically our architecture offers a more comprehensive state representation, behaviour prediction and a more robust case maintenance approach. The proposed architecture is fully described in terms of interactive simulations (specifically first person shooter (FPS) computer games); however it would be applicable to other interactive applications, such as intelligent tutoring and surveillance systems. We conclude the paper by evaluating our proposed architecture and discussing how the system will be implemented.
Type: Meetings & Proceedings
Language: en
Keywords: E-learning
Interactive computer games
Architecture
Online action prediction
Interactive simulations
Games based learning
ISBN: 0-9549016-1-6
Appears in Collections: Game Simulation and Artificial Intelligence Centre (GSAI)

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