Saved in:
Main Authors: | , , |
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Format: | Book |
Language: | English |
Published: |
Tokyo, Japan
1992
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Series: | Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum
1167 |
Subjects: | |
Abstract: | Abstract: "This paper describes an adaptive model-based diagnostic mechanism. Although model-based systems are more robust than heuristic-based expert systems, they generally require more computation time. Time consumption can be significantly reduced by using a hierarchical model scheme, which presents views of the device at several different levels of detail. We argue that in order to employ hierarchical models effectively, it is necessary to make economically rational choices concerning the trade-off between the cost of a diagnosis and its precision. The mechanism presented here makes these choices using a model diagnosability criterion which estimates how much information could be gained by using a candidate model It takes into account several important parameters, including the level of diagnosis precision required by the user, the computational resources available, the cost of observations, and the phase of the diagnosis. Experimental results demonstrate the effectiveness of the proposed mechanism. |
Physical Description: | 13 S. |
Staff View
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490 | 1 | |a Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum |v 1167 | |
520 | 3 | |a Abstract: "This paper describes an adaptive model-based diagnostic mechanism. Although model-based systems are more robust than heuristic-based expert systems, they generally require more computation time. Time consumption can be significantly reduced by using a hierarchical model scheme, which presents views of the device at several different levels of detail. We argue that in order to employ hierarchical models effectively, it is necessary to make economically rational choices concerning the trade-off between the cost of a diagnosis and its precision. The mechanism presented here makes these choices using a model diagnosability criterion which estimates how much information could be gained by using a candidate model | |
520 | 3 | |a It takes into account several important parameters, including the level of diagnosis precision required by the user, the computational resources available, the cost of observations, and the phase of the diagnosis. Experimental results demonstrate the effectiveness of the proposed mechanism. | |
650 | 4 | |a Künstliche Intelligenz | |
650 | 4 | |a Artificial intelligence | |
700 | 1 | |a Koseki, Yoshiyuki |e Verfasser |4 aut | |
700 | 1 | |a Tanaka, Midori |e Verfasser |4 aut | |
830 | 0 | |a Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum |v 1167 |w (DE-604)BV010943497 |9 1167 | |
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Record in the Search Index
DE-BY-TUM_call_number | 0111 2001 B 6122-1167 |
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DE-BY-TUM_katkey | 767938 |
DE-BY-TUM_location | 01 |
DE-BY-TUM_media_number | 040010303083 |
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any_adam_object | |
author | Nakakuki, Yoichiro Koseki, Yoshiyuki Tanaka, Midori |
author_facet | Nakakuki, Yoichiro Koseki, Yoshiyuki Tanaka, Midori |
author_role | aut aut aut |
author_sort | Nakakuki, Yoichiro |
author_variant | y n yn y k yk m t mt |
building | Verbundindex |
bvnumber | BV010976214 |
ctrlnum | (OCoLC)27468834 (DE-599)BVBBV010976214 |
format | Book |
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id | DE-604.BV010976214 |
illustrated | Not Illustrated |
indexdate | 2024-12-20T10:04:10Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007345033 |
oclc_num | 27468834 |
open_access_boolean | |
owner | DE-91G DE-BY-TUM |
owner_facet | DE-91G DE-BY-TUM |
physical | 13 S. |
publishDate | 1992 |
publishDateSearch | 1992 |
publishDateSort | 1992 |
record_format | marc |
series | Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum |
series2 | Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum |
spellingShingle | Nakakuki, Yoichiro Koseki, Yoshiyuki Tanaka, Midori Adaptive model-based diagnostic mechanism using a hierarchical model scheme Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum Künstliche Intelligenz Artificial intelligence |
title | Adaptive model-based diagnostic mechanism using a hierarchical model scheme |
title_auth | Adaptive model-based diagnostic mechanism using a hierarchical model scheme |
title_exact_search | Adaptive model-based diagnostic mechanism using a hierarchical model scheme |
title_full | Adaptive model-based diagnostic mechanism using a hierarchical model scheme Y. Nakasuki, Y. Koseki & M. Tanaka |
title_fullStr | Adaptive model-based diagnostic mechanism using a hierarchical model scheme Y. Nakasuki, Y. Koseki & M. Tanaka |
title_full_unstemmed | Adaptive model-based diagnostic mechanism using a hierarchical model scheme Y. Nakasuki, Y. Koseki & M. Tanaka |
title_short | Adaptive model-based diagnostic mechanism using a hierarchical model scheme |
title_sort | adaptive model based diagnostic mechanism using a hierarchical model scheme |
topic | Künstliche Intelligenz Artificial intelligence |
topic_facet | Künstliche Intelligenz Artificial intelligence |
volume_link | (DE-604)BV010943497 |
work_keys_str_mv | AT nakakukiyoichiro adaptivemodelbaseddiagnosticmechanismusingahierarchicalmodelscheme AT kosekiyoshiyuki adaptivemodelbaseddiagnosticmechanismusingahierarchicalmodelscheme AT tanakamidori adaptivemodelbaseddiagnosticmechanismusingahierarchicalmodelscheme |
Order paper/chapter scan
Branch Library Mathematics & Informatics, Reports
Call Number: | 0111 2001 B 6122-1167 |
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Copy 1 | Available for loan On Shelf |