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Evaluating a plan-recognition framework using tree automata
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2012 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Plan recognition is the task of inferring the possible plans an independent agent might have in mind from observing and analyzing the agents actions. Plan recognition have, among other things, practical applications within the fields of signal analysis and artificial intelligence.In 2010 Johanna Bjorklund and Lisa Kaati developed a framework for plan recognition using weighted, unranked tree automata. This paper explains how their algorithm was implemented and evaluated in the context of StarCraft II a real-time strategy computer game.

Place, publisher, year, edition, pages
2012.
Series
UMNAD, 895
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-52490OAI: oai:DiVA.org:umu-52490DiVA: diva2:505146
Educational program
Bachelor of Science Programme in Computing Science
Uppsok
Technology
Supervisors
Examiners
Available from: 2012-02-23 Created: 2012-02-23 Last updated: 2012-02-23Bibliographically approved

Open Access in DiVA

http://www.cs.umu.se/education/examina/Rapporter/EricJoensson.pdf(1985 kB)286 downloads
File information
File name FULLTEXT01.pdfFile size 1985 kBChecksum SHA-512
c157390f99bbbcccafc2a5c7aae3e3f2fb565b8e04aea5ce2e57c23ba0a283caad88689157813ec6b80ddf1862cd3d3d2202a3333d08dd59cb85e7fe6487f021
Type fulltextMimetype application/pdf

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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