Intelligent Help Systems for UNIX:
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...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
2000
|
| Ausgabe: | 1st ed. 2000 |
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 Online-Ressource (XII, 420 p) |
| ISBN: | 9789401008747 |
| DOI: | 10.1007/978-94-010-0874-7 |
Internformat
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| 520 | |a 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. | ||
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| author2 | Hegner, Stephen J. Mc Kevitt, Paul Norvig, Peter Wilensky, Robert L. |
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| author_facet | Hegner, Stephen J. Mc Kevitt, Paul Norvig, Peter Wilensky, Robert L. |
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| dewey-full | 006.3 |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-94-010-0874-7 |
| edition | 1st ed. 2000 |
| format | Electronic eBook |
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| id | DE-604.BV047064849 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:23Z |
| indexdate | 2024-07-10T09:01:35Z |
| institution | BVB |
| isbn | 9789401008747 |
| language | English |
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| publisher | Springer Netherlands |
| record_format | marc |
| spelling | Intelligent Help Systems for UNIX edited by Stephen J. Hegner, Paul Mc Kevitt, Peter Norvig, Robert L. Wilensky 1st ed. 2000 Dordrecht Springer Netherlands 2000 1 Online-Ressource (XII, 420 p) txt rdacontent c rdamedia cr rdacarrier 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. Artificial Intelligence Operating Systems User Interfaces and Human Computer Interaction Artificial intelligence Operating systems (Computers) User interfaces (Computer systems) UNIX (DE-588)4061835-3 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf UNIX (DE-588)4061835-3 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Hegner, Stephen J. edt Mc Kevitt, Paul edt Norvig, Peter edt Wilensky, Robert L. edt Erscheint auch als Druck-Ausgabe 9780792366416 Erscheint auch als Druck-Ausgabe 9789401008754 Erscheint auch als Druck-Ausgabe 9789401037907 https://doi.org/10.1007/978-94-010-0874-7 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Intelligent Help Systems for UNIX Artificial Intelligence Operating Systems User Interfaces and Human Computer Interaction Artificial intelligence Operating systems (Computers) User interfaces (Computer systems) UNIX (DE-588)4061835-3 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4061835-3 (DE-588)4033447-8 |
| title | Intelligent Help Systems for UNIX |
| title_auth | Intelligent Help Systems for UNIX |
| title_exact_search | Intelligent Help Systems for UNIX |
| title_exact_search_txtP | Intelligent Help Systems for UNIX |
| title_full | Intelligent Help Systems for UNIX edited by Stephen J. Hegner, Paul Mc Kevitt, Peter Norvig, Robert L. Wilensky |
| title_fullStr | Intelligent Help Systems for UNIX edited by Stephen J. Hegner, Paul Mc Kevitt, Peter Norvig, Robert L. Wilensky |
| title_full_unstemmed | Intelligent Help Systems for UNIX edited by Stephen J. Hegner, Paul Mc Kevitt, Peter Norvig, Robert L. Wilensky |
| title_short | Intelligent Help Systems for UNIX |
| title_sort | intelligent help systems for unix |
| topic | Artificial Intelligence Operating Systems User Interfaces and Human Computer Interaction Artificial intelligence Operating systems (Computers) User interfaces (Computer systems) UNIX (DE-588)4061835-3 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Artificial Intelligence Operating Systems User Interfaces and Human Computer Interaction Artificial intelligence Operating systems (Computers) User interfaces (Computer systems) UNIX Künstliche Intelligenz |
| url | https://doi.org/10.1007/978-94-010-0874-7 |
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