Computational Models of Mixed-Initiative Interaction

Descripción:

This text 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 its role in the design of intelligent systems. Editor(s): Haller, Susan. Num Pages: 398 pages, biography. BIC Classification: UYZ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate; (XV) Technical / Manuals. Dimension: 235 x 155 x 23. Weight in Grams: 752. . 1999. Reprinted from user modeling and user-adapted int. Hardback. . . . . Books ship from the US and Ireland. N° de ref. del artículo V9780792355724

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Sinopsis:

Reseña del editor: 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.