Show simple item record

dc.contributor.authorKumar, Pawan
dc.contributor.authorBottaci, Len
dc.contributor.authorMehdi, Qasim
dc.contributor.authorGough, Norman
dc.contributor.authorNatkin, Stephane
dc.date.accessioned2008-07-10T14:20:25Z
dc.date.available2008-07-10T14:20:25Z
dc.date.issued2004
dc.identifier.citationIn: Mehdi, Q. and Gough, N. (Eds.), Proceedings of CGAIDE’2004. 5th Game-On International Conference on Computer Games: Artificial Intelligence, Design and Education, 8-10 November, 2004, Microsoft Academic Campus, Reading UK
dc.identifier.isbn0-9549016-0-6
dc.identifier.urihttp://hdl.handle.net/2436/31520
dc.description.abstractIn this paper we investigate different methods and algorithms from artificial intelligence that can be used for achieving efficient path finding within games and virtual environments. Path finding is a computationally expensive problem that is solved by searching. We investigate different optimization techniques and further develop techniques which can be incorporated within the existing algorithms to make path finding for 2D static environments faster, computationally less expensive and requiring minimum use of resources.
dc.language.isoen
dc.publisherUniversity of Wolverhampton, School of Computing and Information Technology
dc.subjectGames
dc.subjectPath finding
dc.subjectA star
dc.subjectPath searching
dc.subjectHeuristics
dc.titleEfficient path finding for 2D games
dc.title.alternativeProceedings of CGAIDE’2004
dc.typeConference contribution
refterms.dateFOA2018-08-21T11:13:04Z
html.description.abstractIn this paper we investigate different methods and algorithms from artificial intelligence that can be used for achieving efficient path finding within games and virtual environments. Path finding is a computationally expensive problem that is solved by searching. We investigate different optimization techniques and further develop techniques which can be incorporated within the existing algorithms to make path finding for 2D static environments faster, computationally less expensive and requiring minimum use of resources.


Files in this item

Thumbnail
Name:
CGAIDE 2004_Kumar et al.pdf
Size:
232.3Kb
Format:
PDF
Thumbnail
Name:
CGAIDE_04_cover.pdf
Size:
108.1Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record