Generalization handling in a dynamic case memory

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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.

Lingua originaleInglese
Titolo della pubblicazione ospiteMethodologies for Intelligent Systems - 6th International Symposium, ISMIS 1991, Proceedings
EditorZbigniew W. Ras, Maria Zemankova
EditoreSpringer Verlag
Pagine72-81
Numero di pagine10
ISBN (stampa)9783540545637
DOI
Stato di pubblicazionePubblicato - 1991
Pubblicato esternamente
Evento6th International Symposium on Methodologies for Intelligent Systems, ISMIS 1991 - Charlotte , United States
Durata: 16 ott 199119 ott 1991

Serie di pubblicazioni

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume542 LNAI Part F2
ISSN (stampa)0302-9743
ISSN (elettronico)1611-3349

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???event.eventtypes.event.conference???6th International Symposium on Methodologies for Intelligent Systems, ISMIS 1991
Paese/TerritorioUnited States
CittàCharlotte
Periodo16/10/9119/10/91

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