Computational Models of Mixed-Initiative Interaction [electronic resource] /

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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Bibliographic Details
Main Authors: Haller, Susan. editor., Kobsa, Alfred. editor., McRoy, Susan. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 1999
Subjects:Computer science., User interfaces (Computer systems)., Artificial intelligence., Computational linguistics., Computer Science., User Interfaces and Human Computer Interaction., Artificial Intelligence (incl. Robotics)., Computational Linguistics.,
Online Access:http://dx.doi.org/10.1007/978-94-017-1118-0
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