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Case-based decision support

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An important focus of our research is the design of rich and flexible environments to facilitate and stimulate human decision-making processes. Case-based reasoning can play an important role in supporting interactive decision processes requiring human judgments and inputs. This paper models case-based reasoning as an autonomous agent in the decision-making environment to present a symbiotic decision support system in which both the decision-maker and the system benefit from each other. The case-based agent stimulates and facilitates the decision-making process (by using stored cases of prior decision/problem solutions) and learns from the decision maker by observing and storing current problem solving behaviors. Thus case-based reasoning is used to lead to a new form of proactive, conversational and provocative decision support environment. The experimental domain of multi-criteria decision making has been chosen for illustrating our ideas

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