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Generalization handling in a dynamic case memory

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the present paper, we deal with the problem of the recovery from bad generalization in a dynamic memory of cases. The memory model we adopt is based on the EMOP structures and has been applied at the case-based component of a system integrating case-based reasoning and prototypical knowledge. Two different types of bad generalizations (undergeneralizations and overgeneralizations) are dealt with by monitoring each norm of an EMOP and logically deleting bad generalized information. The second point leads to a conservative approach (justified by the use of a particular integrated architecture) which has the advantage that the recovery process can use all previously stored information.

Original languageEnglish
Title of host publicationMethodologies for Intelligent Systems - 6th International Symposium, ISMIS 1991, Proceedings
EditorsZbigniew W. Ras, Maria Zemankova
PublisherSpringer Verlag
Pages72-81
Number of pages10
ISBN (Print)9783540545637
DOIs
Publication statusPublished - 1991
Externally publishedYes
Event6th International Symposium on Methodologies for Intelligent Systems, ISMIS 1991 - Charlotte , United States
Duration: 16 Oct 199119 Oct 1991

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume542 LNAI Part F2
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Symposium on Methodologies for Intelligent Systems, ISMIS 1991
Country/TerritoryUnited States
CityCharlotte
Period16/10/9119/10/91

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