Applications of artificial potential fields for real time strategy games : Troop formations and movements used trained potential functions</I>
This 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 thi...
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Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap
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ndltd-UPSALLA1-oai-DiVA.org-ntnu-190872013-01-08T13:45:13ZApplications of artificial potential fields for real time strategy games : Troop formations and movements used trained potential functions</I>engHansen, Finn Robin KåvelandNorges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskapInstitutt for datateknikk og informasjonsvitenskap2012ntnudaim:7580MTDT datateknikkSpillteknologiThis 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. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19087Local ntnudaim:7580application/pdfinfo:eu-repo/semantics/openAccess |
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English |
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Others
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ntnudaim:7580 MTDT datateknikk Spillteknologi |
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ntnudaim:7580 MTDT datateknikk Spillteknologi Hansen, Finn Robin Kåveland Applications of artificial potential fields for real time strategy games : Troop formations and movements used trained potential functions</I> |
description |
This 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. |
author |
Hansen, Finn Robin Kåveland |
author_facet |
Hansen, Finn Robin Kåveland |
author_sort |
Hansen, Finn Robin Kåveland |
title |
Applications of artificial potential fields for real time strategy games : Troop formations and movements used trained potential functions</I> |
title_short |
Applications of artificial potential fields for real time strategy games : Troop formations and movements used trained potential functions</I> |
title_full |
Applications of artificial potential fields for real time strategy games : Troop formations and movements used trained potential functions</I> |
title_fullStr |
Applications of artificial potential fields for real time strategy games : Troop formations and movements used trained potential functions</I> |
title_full_unstemmed |
Applications of artificial potential fields for real time strategy games : Troop formations and movements used trained potential functions</I> |
title_sort |
applications of artificial potential fields for real time strategy games : troop formations and movements used trained potential functions</i> |
publisher |
Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap |
publishDate |
2012 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19087 |
work_keys_str_mv |
AT hansenfinnrobinkaveland applicationsofartificialpotentialfieldsforrealtimestrategygamestroopformationsandmovementsusedtrainedpotentialfunctionsi |
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1716528307081576448 |