| dc.contributor.advisor | Langseth, Helge | nb_NO |
| dc.contributor.author | Løland, Karl Syvert | nb_NO |
| dc.date.accessioned | 2014-12-19T13:33:50Z | |
| dc.date.available | 2014-12-19T13:33:50Z | |
| dc.date.created | 2010-09-04 | nb_NO |
| dc.date.issued | 2008 | nb_NO |
| dc.identifier | 348679 | nb_NO |
| dc.identifier | ntnudaim:4189 | nb_NO |
| dc.identifier.uri | http://hdl.handle.net/11250/251298 | |
| dc.description.abstract | In this project we examine whether or not a intelligent agent can learn how to play a computer game using the same inputs and outputs as a human. An agent architecture is chosen, implemented, and tested on a standard first person shooter game to see if it can learn how to play that game and find a goal in that game. We conclude the report by discussing potential improvements to the current implementation. | 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 | 62 | nb_NO |
| dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap | nb_NO |
