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Learning to verify design solutions from failure knowledge

Published online by Cambridge University Press:  01 April 1998

PAULO GOMES ,
CARLOS BENTO  and
PEDRO GAGO
PAULO GOMES
Affiliation:
CISUC–Centro de Informática e Sistemas da Universidade de Coimbra, Polo II, 3030 Coimbra, Portugal
CARLOS BENTO
Affiliation:
CISUC–Centro de Informática e Sistemas da Universidade de Coimbra, Polo II, 3030 Coimbra, Portugal
PEDRO GAGO
Affiliation:
CISUC–Centro de Informática e Sistemas da Universidade de Coimbra, Polo II, 3030 Coimbra, Portugal Escola Superior de Tecnologia e Gestão—Instituto Superior Politécnico de Leiria, Morro do lena, 2400 Leiria, Portugal
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Abstract

Learning is an intrinsic product of case-based reasoning. Acquiring new cases is one possible way of learning in a case-based system. These cases comprise mainly success knowledge. The successful cases are essentially used to generate new design solutions. But a case-based system also can make use of failure knowledge. In this paper we present how a case-based system can acquire failure cases for verification of the solution created by success cases. We describe IM-RECIDE, a system that uses case-based reasoning for solving design problems that are imperfectly described and explained. The learning aspect is focused and some of the machine learning dimensions in design are criticized. Experimental results in the domain of room configuration also are presented.

Keywords

Case-based ReasoningDesignFailure KnowledgeLearning
Type
Research Article
Information
AI EDAM , Volume 12 , Issue 2 , April 1998 , pp. 107 - 115
Copyright
© 1998 Cambridge University Press

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