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Titlebook: Computational Models of Mixed-Initiative Interaction; Susan Haller,Alfred Kobsa,Susan McRoy Book 1999 Springer Science+Business Media Dord

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書目名稱Computational Models of Mixed-Initiative Interaction
編輯Susan Haller,Alfred Kobsa,Susan McRoy
視頻videohttp://file.papertrans.cn/233/232842/232842.mp4
圖書封面Titlebook: Computational Models of Mixed-Initiative Interaction;  Susan Haller,Alfred Kobsa,Susan McRoy Book 1999 Springer Science+Business Media Dord
描述.Computational Models of Mixed-Initiative Interaction.brings together research that spans several disciplines related toartificial intelligence, including natural language processing,information retrieval, machine learning, planning, and computer-aidedinstruction, to account for the role that mixed initiative plays inthe design of intelligent systems. The ten contributions address thesingle issue of how control of an interaction should be managed whenabilities needed to solve a problem are distributed amongcollaborating agents. .Managing control of an interaction among humans and computers togather and assemble knowledge and expertise is a major challenge thatmust be met to develop machines that effectively collaborate withhumans. This is the first collection to specifically address thisissue.
出版日期Book 1999
關(guān)鍵詞Design; Interaction; Interface; agents; artificial intelligence; control; intelligence; intelligent systems
版次1
doihttps://doi.org/10.1007/978-94-017-1118-0
isbn_softcover978-90-481-5171-4
isbn_ebook978-94-017-1118-0
copyrightSpringer Science+Business Media Dordrecht 1999
The information of publication is updating

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Scheduling the SSC Constructionin collaborative dialogue interactions. Our model predicts the task and dialogue initiative holders for the next dialogue turn based on the current initiative holders and the effect that observed cues have on changing them. Our evaluation across various corpora shows that the use of cues consistentl
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Collider Dipole Magnet Producibilitytivities, learning environments should monitor their progress and provide them with feedback in a manner that contributes to achieving the twin goals of learning effectiveness and learning efficiency. Mixed-initiative interactions are particularly critical for . learning environments in which learne
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Collider Dipole Magnet Producibilityth the user, the critical aspects of delegation-based interaction are outlined. Then MASMA, an agent system for distributed meeting scheduling, is described, and the solutions developed to control interaction are explained in detail. The issues addressed concern: the agent capability of adapting its
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Collider Dipole Magnet Producibility Based on the dialogue model proposed in Conversation Analysis and Discourse Analysis a lá the Birmingham school and Whittaker and Stenton’s definition of initiative, we implement dialogue systems and obtain experimental results by making the systems interact with each other. Across a variety of ins
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