dc.contributor.advisor | Langseth, Helge | nb_NO |
dc.contributor.author | Grastveit, Stein Gunnar | nb_NO |
dc.date.accessioned | 2014-12-19T13:31:14Z | |
dc.date.available | 2014-12-19T13:31:14Z | |
dc.date.created | 2010-09-02 | nb_NO |
dc.date.issued | 2008 | nb_NO |
dc.identifier | 347035 | nb_NO |
dc.identifier | ntnudaim:4407 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/250277 | |
dc.description.abstract | Modify an exiting agent architecture with more learning abilities. The agent should be able to learn its environment, and improve its performance. | nb_NO |
dc.language | eng | nb_NO |
dc.publisher | Institutt for datateknikk og informasjonsvitenskap | nb_NO |
dc.subject | ntnudaim | no_NO |
dc.subject | SIF2 datateknikk | no_NO |
dc.subject | Intelligente systemer | no_NO |
dc.title | Intelligent agents in computer games | nb_NO |
dc.type | Master thesis | nb_NO |
dc.source.pagenumber | 146 | nb_NO |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap | nb_NO |