DocumentCode :
2076301
Title :
Redesign of local area networks using similarity-based adaptation
Author :
Weiss, Michael ; Zeyer, F.
Author_Institution :
Lehrstuhl for Praktische Inf. I, Mannheim Univ., Germany
fYear :
1994
fDate :
1-4 Mar 1994
Firstpage :
284
Lastpage :
290
Abstract :
This paper describes the design of a case-based reasoning system for the redesign of local area networks. It introduces a mechanism for solution adaptation based on a hierarchy of possible actions, each of which is associated with background knowledge about its suitability. A novel similarity measure is used to rank actions where multiple alternative actions are found for an action that cannot be applied in the current problem context. The measure uses a heuristic weighting function between the degree of abstraction and the degree of specificity. It is shown how other measures for closeness may be derived as specializations of the one presented
Keywords :
CAD; case-based reasoning; heuristic programming; local area networks; network synthesis; telecommunications computing; LAN redesign; abstraction degree; action ranking; action suitability; background knowledge; case-based reasoning system; closeness measures; heuristic weighting function; local area networks; multiple alternative actions; possible actions hierarchy; problem context; similarity measure; similarity-based adaptation; solution adaptation; specificity degree; Area measurement; Artificial intelligence; Concurrent engineering; Current measurement; Local area networks; Monitoring; Network servers; Phase measurement; Problem-solving; Workstations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence for Applications, 1994., Proceedings of the Tenth Conference on
Conference_Location :
San Antonia, TX
Print_ISBN :
0-8186-5550-X
Type :
conf
DOI :
10.1109/CAIA.1994.323663
Filename :
323663
Link To Document :
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