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dc.contributor.authorWan, Tao Ruan
dc.contributor.authorTang, Wen
dc.contributor.editorSkala, Václav
dc.identifier.citationWSCG '2002: Short Communication Papers: The 10-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2002, 4.-8. February 2002 Plzeň: Conference proceedings, p. 137-144.en
dc.identifier.isbn1213-6972 (hardcopy)
dc.identifier.isbn1213-6980 (CD-ROM)
dc.identifier.isbn1213-6964 (on-line)
dc.description.abstractIn this paper, we describe a genetic algorithm approach to simulate complex virtual character's learning behaviours as an evolutionary process. The method presented here enables virtual character to have abilities to learn for specific assigned tasks. The skill for the task can be developed and evolved through the experiences of performing the task. The animation system presented here has two tightly coupled simulation units, which are an artificial brain unit for learning and controlling and a physics-based motion simulation unit driven by simulated muscle forces.en
dc.format8 s.cs
dc.publisherUNION Agencyen
dc.relation.ispartofseriesWSCG '2002: Short Communication Papersen
dc.rights© UNION Agencycs
dc.subjectvirtuální postavycs
dc.subjectřízení pohybucs
dc.subjectgenetický algoritmuscs
dc.subjectvirtuální prostředícs
dc.titleSimulating virtual character's learning behavior as an evolutionary process using genetic algorithmsen
dc.typekonferenční příspěvekcs
dc.subject.translatedvirtual charactersen
dc.subject.translatedmotion controlen
dc.subject.translatedgenetic algorithmen
dc.subject.translatedvirtual environmenten
Appears in Collections:WSCG '2002: Short Communication Papers

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/6047

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