Interpretative computer intelligence: a link between users, models and methods in DSS
Author: Angehrn, Albert A. INSEAD Area: Technology and Operations Management Series: Working Paper ; 91/12/TM Publisher: Fontainebleau : INSEAD, 1991.Language: EnglishDescription: 18 p.Type of document: INSEAD Working Paper Online Access: Click here Abstract: 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| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Digital Library | Available | BC000882 |
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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