Modeling by Example: A link between user, models and methods in DSS

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. Modeling by Example (MbE)-a methodology based on interpretative computer intelligence-overcomes this hurdle by permitting decision-makers to access the knowledge stored in Decision Support Systems (DSS) via a dynamic exchange of examples. This paper discusses and illustrates the two basic components underlying the realization of MbE, i.e. (i) the design of interactive modeling environments allowing individual problem structuring and exploration, and (ii) the development of a knowledge-based system component supporting and stimulating decision-makers to identify and apply the problem-solving techniques made available by the DSS.