Please use this identifier to cite or link to this item:
doi:10.22028/D291-42575
Title: | micro-UNIXPERT : Ein wissensbasiertes System zur Behandlung von Problemen bei UNIX-Druckauftraegen |
Author(s): | Lessel, Michael |
Language: | German |
Year of Publication: | 1986 |
Place of publication: | Kaiserslautern |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | micro-UNIXPERT (UNIX^ - PERiphery - Tester) is an interactive, knowledge-based diagnosis system for the treatment of printer hardware faults and of other problems which can appear in connection with printing (user errors and software faults). If possible, the system both generates diagnoses and gives proposals for clearing. The entire knowledge of micro-UNIXPERT consists of a set of PROLOG-like facts and rules. The system is implemented in LISPLOG, a LISP/PROLOG integration running in FRANZ LISP under the UNIX 4.2 BSD operating system on a VAX 11/750. After a general introduction into the problems of diagnosis systems and a discussion of the most important micro-UNIXPERT features (knowledge acquisition, positive and negative facts, user acceptance, inference mechanism), the method of operation of the system is explained by giving full details of the LISPLOG implementation. -------------- ^ UNIX is a registered trade-mark of Bell Laboratories |
Link to this record: | urn:nbn:de:bsz:291--ds-425758 hdl:20.500.11880/38329 http://dx.doi.org/10.22028/D291-42575 |
Series name: | SEKI working paper : SWP ; SEKI-Projekt / Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI [ISSN 1860-5931] |
Series volume: | 86,4 |
Date of registration: | 3-Sep-2024 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Professorship: | SE - Sonstige |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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SEKI-Working-Paper-SWP-86-04_Lessel_micro-UNIXPERT-Ein-wissensbasiertes-System-zur-Behandlung-von-Problemen-bei-UNIX-Druckauftraegen.pdf | 32,59 MB | Adobe PDF | View/Open |
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