| A Method Employing Examples of Varied Typicality and a Two-staged Construction of the Base Concept Representation Part I: Principles and Methodology (2007) | |||||||||||||||
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| A method for learning flexible concepts is described, that is concepts that are imprecise and context dependent. The method is based on a two-tiered concept representation. In such a representation the first tier, called the Base Concept Representation, describes typical properties of a concept in an explicit, comprehensible, and efficient form. The second tier, called the Inferential Concept Interpretation, contains inference rules and metaknowledge that define allowable transformations of the concept under different contexts, and handle exceptional instances. In the method, the first tier is created in two stages. In the first stage, a complete and consistent description of the concept is learned by applying the inductive learning methodology (AQ and INDUCE) to examples of varying typicality. In the second stage, so obtained description is optimized through a heuristic search, employing a description quality criterion. The second tier is defined by an expert under the guidance from the system, which asks the expert to explain the context-dependent meaning or special cases of the concept. Alternatively, the second tier can be inherited from more general concepts. This part of the paper concentrates | |||||||||||||||
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