Vis enkel innførsel

dc.contributor.advisorLangseth, Helgenb_NO
dc.contributor.advisorKofod-Petersen, Andersnb_NO
dc.contributor.authorHansen, Finn Robin Kåvelandnb_NO
dc.date.accessioned2014-12-19T13:39:15Z
dc.date.available2014-12-19T13:39:15Z
dc.date.created2012-11-08nb_NO
dc.date.issued2012nb_NO
dc.identifier566463nb_NO
dc.identifierntnudaim:7580nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/253042
dc.description.abstractThis thesis describes the effort of adapting potential field methods towards man-aging groups of units in real-time strategy game like environments. The focus is ondiscovering the suitability for this technology to create realistic group behaviourand whether it can be adapted to use learning for this purpose.A flexible simulation system for units that are controlled by potential fieldmethods in environments similar to those found in real-time strategy games isdeveloped. This is then used to conduct experiments where different types ofgroup behaviour is sought after. Stochastic optimization techniques are appliedin an attempt to create and optimize desired group behaviour. The results arediscussed and future directions for this research are proposed.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaim:7580no_NO
dc.subjectMTDT datateknikkno_NO
dc.subjectSpillteknologino_NO
dc.titleApplications of artificial potential fields for real time strategy games: Troop formations and movements used trained potential functionsnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber96nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


Tilhørende fil(er)

Thumbnail
Thumbnail
Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel