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On the Use of the ADG Similarity in Case-Based Planning Systems

Flavio TonidandelMárcio Rillo

This paper is a further step in the investigation of the ADG similarity performance. The ADG similarity is a new similarity rule that was first used in the FAR-OFF case-based planning system, which presents good performance in solving planning problems. The ADG similarity is more accurate than old similarity metrics because it estimates the effort for adapting cases, but it takes more time to find similar ones. This paper analyses the real contribution of the ADG similarity in the FAR-OFF system performance and its advantages and disadvantages over the old similarity rules. Clique no link abaixo para buscar o texto completo deste trabalho na Web: Buscar na Web

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