Articoli correlati a Computational Models of Mixed-Initiative Interaction
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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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
Preface; S. Haller, S. McRoy. What is Initiative? R. Cohen, et al. An Evidential Model for Tracking Initiative in Collaborative Dialogue Interactions; J. Chu-Carroll, M.K. Brown. An Analysis of Initiative Selection in Collaborative Task-Oriented Discourse; C.I. Guinn. COLLAGEN: A Collaboration Manager for Software Interface Agents; C. Rich, C. Sidner. Lifelike Pedagogical Agents for Mixed-initiative Problem Solving in Constructivist Learning Environments; J.C. Lester, et al. Mixed-Initiative Issues in an Agent-Based Meeting Scheduler; A. Cesta, D. d'Aloisi. Exploring Mixed-Initiative Dialogue Using Computer Dialogue Simulation; M. Ishizaki, et al. A Computational Mechanism for Initiative in Answer Generation; N. Green, S. Carberry. User-Tailored Planning of Mixed Initiative Information-Seeking Dialogues; A. Stein, et al. An Approach to Mixed Initiative Spoken Information Retrieval Dialogue; E. Hagen.
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Paperback. Condizione: new. Paperback. 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. This volume 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9789048151714
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 404 pp. Englisch. Codice articolo 9789048151714
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 comput. Codice articolo 5819030
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 404 pp. Englisch. Codice articolo 9789048151714
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9789048151714
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