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Case-based decision support

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This paper presents and illustrates an approach for effectively integrating case-based reasoning (CBR) techniques into systems supporting human decision making. CBR techniques are encapsulated in an autonomous agent which is able to assume the role of an adviser or of a story teller in order to facilitate and stimulate the decision-making process (by using stored cases of prior decision/problem solutions) and to incrementally enhance its knowledge by observing and storing current problem solving behaviors of decision makers. The result is a highly interactive, conversational, human-computer decision making environment. The experimental domain of multi-criteria decision making has been chosen for illustrating case-based decision support in a widely studied and relevant application area

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