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Learning Human Behavior from Analyzing Activities in Virtual Environments

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dc.contributor.authorBauckhage, Christiande_DE
dc.contributor.authorGorman, Bernardde_DE
dc.contributor.authorThurau, Christiande_DE
dc.contributor.authorHumphrys, Markde_DE
dc.contributor.editorIsrael, Johann Habakukde_DE
dc.contributor.editorNaumann, Anjade_DE
dc.date.accessioned2017-11-15T15:49:50Z
dc.date.available2017-11-15T15:49:50Z
dc.date.issued2007
dc.description.abstractPresent day multiplayer video games offer an interesting perspective for researching artificial cognitive systems. In this contribution, we focus on the problem of learning believable behavior models for artificial characters. Recordings of the network traffic of modern games allow for applying machine learning techniques to realize artificial agents that act more human-like than conventional current game characters. We detail an imitation learning approach and present the results of an extensive believability study that was carried out on the Internet.de_DE
dc.identifier.pissn1439-7854de_DE
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/5326
dc.language.isoende_DE
dc.relation.ispartofMMI Interaktiv - Human: Vol. 1, No. 12de_DE
dc.subjectcomputer game agentsde_DE
dc.subjectimitation learningde_DE
dc.subjectbelievability testingde_DE
dc.titleLearning Human Behavior from Analyzing Activities in Virtual Environmentsde_DE
dc.typeText/Journal Articlede_DE
gi.citation.endPage17
gi.citation.startPage3
gi.document.qualitydigidoc

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Nr. 12 – Human-Machine Interaction in Virtual Environments, April 2007