2.50
Hdl Handle:
http://hdl.handle.net/2436/34677
Title:
Towards Online Adaptation In Action Games: Case Storage and Retrieval
Authors:
Hartley, Thomas; Mehdi, Qasim
Other Titles:
Proceedings of CGAMES’2006
Abstract:
In this paper we present our work towards the development of an online learning and adaptation architecture for non-player characters (NPCs) (agents) in first person shooter (FPS) computer games. We will outline the development of our case storage and retrieval method, which uses an adaptive k-d tree based approach and discuss the issues related to employing this technique for online storage and retrieval of cases. We conclude by evaluating the performance of the developed data structures and discussing results.
Citation:
In: Mehdi, Q. and Elmaghraby, A. (Eds.), Proceedings of CGAMES’2006. 8th International Conference on Computer Games: Artificial Intelligence and Mobile Systems, 24-27 July 2006, Louisville, Kentucky, USA
Publisher:
The University of Wolverhampton, School of Computing and Information Technology
Issue Date:
2006
URI:
http://hdl.handle.net/2436/34677
Additional Links:
http://www.cgames.org/; http://www.wlv.ac.uk/Default.aspx?page=14750
Type:
Meetings & Proceedings
Language:
en
ISBN:
0-9549016-1-4
Appears in Collections:
Game Simulation and Artificial Intelligence Centre (GSAI)

Full metadata record

DC FieldValue Language
dc.contributor.authorHartley, Thomas-
dc.contributor.authorMehdi, Qasim-
dc.date.accessioned2008-08-07T10:08:26Z-
dc.date.available2008-08-07T10:08:26Z-
dc.date.issued2006-
dc.identifier.citationIn: Mehdi, Q. and Elmaghraby, A. (Eds.), Proceedings of CGAMES’2006. 8th International Conference on Computer Games: Artificial Intelligence and Mobile Systems, 24-27 July 2006, Louisville, Kentucky, USAen
dc.identifier.isbn0-9549016-1-4-
dc.identifier.urihttp://hdl.handle.net/2436/34677-
dc.description.abstractIn this paper we present our work towards the development of an online learning and adaptation architecture for non-player characters (NPCs) (agents) in first person shooter (FPS) computer games. We will outline the development of our case storage and retrieval method, which uses an adaptive k-d tree based approach and discuss the issues related to employing this technique for online storage and retrieval of cases. We conclude by evaluating the performance of the developed data structures and discussing results.en
dc.language.isoenen
dc.publisherThe University of Wolverhampton, School of Computing and Information Technologyen
dc.relation.urlhttp://www.cgames.org/en
dc.relation.urlhttp://www.wlv.ac.uk/Default.aspx?page=14750en
dc.subjectOnline adaptationen
dc.subjectCase storage and retrievalen
dc.subjectk-d treesen
dc.titleTowards Online Adaptation In Action Games: Case Storage and Retrievalen
dc.title.alternativeProceedings of CGAMES’2006en
dc.typeMeetings & Proceedingsen
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