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Computational Models of Mixed-Initiative Interaction (Hardcover, Reprinted from USER MODELING AND USER-ADAPTED INTERACTION,... Computational Models of Mixed-Initiative Interaction (Hardcover, Reprinted from USER MODELING AND USER-ADAPTED INTERACTION, 8:3-4; 9:1-2, 1999)
Susan Haller, Susan McRoy, Alfred Kobsa
R4,456 Discovery Miles 44 560 Ships in 12 - 17 working days

Computational Models of Mixed-Initiative Interaction brings together research that spans several disciplines related to artificial intelligence, including natural language processing, information retrieval, machine learning, planning, and computer-aided instruction, to account for the role that mixed initiative plays in the design of intelligent systems. The ten contributions address the single issue of how control of an interaction should be managed when abilities needed to solve a problem are distributed among collaborating agents. Managing control of an interaction among humans and computers to gather and assemble knowledge and expertise is a major challenge that must be met to develop machines that effectively collaborate with humans. This is the first collection to specifically address this issue.

Computational Models of Mixed-Initiative Interaction (Paperback, Softcover reprint of hardcover 1st ed. 1999): Susan Haller,... Computational Models of Mixed-Initiative Interaction (Paperback, Softcover reprint of hardcover 1st ed. 1999)
Susan Haller, Susan McRoy, Alfred Kobsa
R4,334 Discovery Miles 43 340 Ships in 10 - 15 working days

Computational Models of Mixed-Initiative Interaction brings together research that spans several disciplines related to artificial intelligence, including natural language processing, information retrieval, machine learning, planning, and computer-aided instruction, to account for the role that mixed initiative plays in the design of intelligent systems. The ten contributions address the single issue of how control of an interaction should be managed when abilities needed to solve a problem are distributed among collaborating agents. Managing control of an interaction among humans and computers to gather and assemble knowledge and expertise is a major challenge that must be met to develop machines that effectively collaborate with humans. This is the first collection to specifically address this issue.

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