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Integrating prior cases and expert knowledge in a mergers and acquisitions reasoning system

Author: Dutta, Soumitra ; Bonissone, Piero P.INSEAD Area: Technology and Operations Management Series: Working Paper ; 90/67/TM/SE/FIN Publisher: Fontainebleau : INSEAD, 1990.Language: EnglishDescription: 31p.Type of document: INSEAD Working Paper Online Access: Click here Abstract: Rule based reasoning (RBR) and case based reasoning (CBR) have emerged as two important and complementary reasoning methodologies in artificial intelligence (AI). This paper presents an approach to achieve a compact and seamless integration of RBR and CBR within the base architecture of rules. This integration is illustrated in the financial domain of mergers and acquisitions
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Rule based reasoning (RBR) and case based reasoning (CBR) have emerged as two important and complementary reasoning methodologies in artificial intelligence (AI). This paper presents an approach to achieve a compact and seamless integration of RBR and CBR within the base architecture of rules. This integration is illustrated in the financial domain of mergers and acquisitions

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