Modelling and Explaining Legal Case-Based Reasoners Through Classifiers

This paper brings together factor-based models of case-based reasoning (CBR) and the logical specification classifiers. Horty [8] has developed precedent into a theory precedential constraint. In this we combine binary-input classifier logic (BCL) to classifiers their explanations given by Liu & Lorini [13, 14] with Horty’s account CBR, since both CBR map sets features decisions or classifications. We reformulate case bases in language BCL, give several representation results. Furthermore, show how notions can be analyzed explanation.