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Effectiveness of Decision Support Systems (DSS's) is enhanced through dynamic adaptation of support to the needs of the decision maker, to the problem, and to the decision context. This paper defines this enhanced DSS's as Adaptive Decision Support Systems (ADSS's) and proposes its architecture. In an ADSS, the decision maker controls the decision process. However, the system monitors the process to match support to the needs. The proposed architecture evolves from the traditional DSS models and includes an additional intelligent "Adaptation" component. The "Adaptation" component works with the traditional data, model, and interface components to provide adaptive support. The architecture also integrates enhancements proposed in the past research.
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