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dc.contributor.advisorJustine Cassell.en_US
dc.contributor.authorChang, Joey, 1975-en_US
dc.date.accessioned2006-02-02T18:45:48Z
dc.date.available2006-02-02T18:45:48Z
dc.date.copyright1998en_US
dc.date.issued1998en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/31079
dc.descriptionThesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.en_US
dc.descriptionIncludes bibliographical references (leaf 40).en_US
dc.description.abstractThis paper presents an approach to action scheduling in lifelike humanoid agents. The action scheduler constitutes a module in the agent which links the mental processes to the physical actions of the agent. It receives requests from the agent's behavior generating modules and schedules them to be executed at the appropriate time, handling such tasks as speech-to-action synchronization, concurrent and overlapping behavior blending, and behavior conflict resolution. The optimal approach to action scheduling will vary from system to system, depending upon the characteristics of the system, since the ultimate action scheduler would accommodate a fully functional human representation-a goal which is out of the scope of research today. This paper presents an action scheduler for a real-time three-dimensional multi-modal humanoid agent.en_US
dc.description.statementofresponsibilityby Joey Chang.en_US
dc.format.extent40 leavesen_US
dc.format.extent1800900 bytes
dc.format.extent1803551 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Scienceen_US
dc.titleAction scheduling in humanoid conversational agentsen_US
dc.title.alternativeTurn-taking in multi-participant conversationen_US
dc.typeThesisen_US
dc.description.degreeS.B.and M.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc42279293en_US


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