Computational Models of Mixed-Initiative Interaction
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About this book
Introduction
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.
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.
Keywords
Design Interaction Interface agents artificial intelligence control intelligence intelligent systems knowledge learning machine learning natural language natural language processing problem solving simulation
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Bibliographic information
- DOI https://doi.org/10.1007/978-94-017-1118-0
- Copyright Information Springer Science+Business Media B.V. 1999
- Publisher Name Springer, Dordrecht
- eBook Packages Springer Book Archive
- Print ISBN 978-90-481-5171-4
- Online ISBN 978-94-017-1118-0
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