An Implementation of a Data-mining Approach to Strategy Selection in Starcraft: Brood War

Simple item page
dc.contributor.advisorGrootjen, F.A.
dc.contributor.authorPingen, G.L.J.
dc.date.issued2014-01-29
dc.description.abstractStrategy recognition and counter-strategy generation are of vital importance in real-time strategy games. Much of the current research focusses on recognition rather than generation. In this research we implemented a StarCraft: Brood War bot that uses a counter-strategy model generated from replays. The heuristic used to select a counterstrategy is based on the notion that good strategies are ones that are defensive against offensive strategies and vice versa. Results show that this approach is promising, though not sufficient to compete against state-of-the-art StarCraft:Brood War bots as of yet.en_US
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/144
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationBachelor Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeBacheloren_US
dc.titleAn Implementation of a Data-mining Approach to Strategy Selection in Starcraft: Brood Waren_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Pingen, GLJ_BA_Th_2014.pdf
Size:
2.24 MB
Format:
Adobe Portable Document Format
Description:
Scriptietekst
Download
Collections
Faculteit der Sociale Wetenschappen