If it Worked Last Time, it Should Work Again: Justifying and Validating Case-Based Plans

Kathryn E. Sanders

In this paper, I focus on an additional method: presenting the cases on which the system’s solution was based and explaining how they support that solution. Understanding the way in which the system operates increases the user’s confidence in the results. In rule-based expert systems, this is called an explanation facility. Typically, it involves displaying the rules applied in arriving at a conclusion. CBR systems have the advantage that by using cases, they can provide an explanation that is generally much easier to understand and more compelling than a chain of rules.

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