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Interpretative computer intelligence: a link between users, models and methods in DSS

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The integration of complex problem-solving techniques into human decision-making processes is a difficult task due to the formal, structural know-how necessary for the correct application of these analytical methods. Modelling by example (MbE), a methodology based on interpretative computer intelligence, overcomes this hurdle by supporting a dynamic exchange of examples between a decision mmaker and a convivial, knowledged-based Decision Support System. This paper discusses and illustrates the two basic requirements for the realisation of MbE, namely the design of object-oriented, visual modelling environments supporting interactive problem structuring, and the development of a knowledge-based system component which actively supports the identification and the application of the different problem-solving techniques which are stored in the system's model base

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en

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application/pdf

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http://flora.insead.edu/fichiersti_wp/Inseadwp1991/91-12.pdf

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Copyright INSEAD. All rights reserved