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Intelligent Help Systems for UNIX

Hegner, SJ, McKevitt, P, Norvig, P and Wilensky, R, eds. (2001) Intelligent Help Systems for UNIX. (International Conference on Knowledge Representation in the UNIX Help Domain). Berlin, Germany. 424 pp. Springer. ISBN 978-0-7923-6641-6 [Book (edited)]

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URL: http://www.springer.com/computer/ai/book/978-0-7923-6641-6


In this international collection of papers there is a wealth of knowledge on artificial intelligence (AI) and cognitive science (CS) techniques applied to the problem of providing help systems mainly for the UNIX operating system. The research described here involves the representation of technical computer concepts, but also the representation of how users conceptualise such concepts. The collection looks at computational models and systems such as UC, Yucca, and OSCON programmed in languages such as Lisp, Prolog, OPS-5, and C which have been developed to provide UNIX help. These systems range from being menu-based to ones with natural language interfaces, some providing active help, intervening when they believe the user to have misconceptions, and some based on empirical studies of what users actually do while using UNIX. Further papers investigate planning and knowledge representation where the focus is on discovering what the user wants to do, and figuring out a way to do it, as well as representing the knowledge needed to do so. There is a significant focus on natural language dialogue where consultation systems can become active, incorporating user modfelling, natural language generation and plan recognition, modelling metaphors, and users' mistaken beliefs. Much can be learned from seeing how AI and CS techniques can be investigated in depth while being applied to a real test-bed domain such as help on UNIX.

Item Type:Book (edited)
Faculties and Schools:Faculty of Arts
Faculty of Arts > School of Creative Arts and Technologies
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:21356
Deposited By: Professor Paul McKevitt
Deposited On:09 Mar 2012 15:10
Last Modified:09 Mar 2012 15:10

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